Abstract
Event extraction is an NLP task that commonly involves identifying the central word (trigger) for an event and its associated arguments in text. ACE-2005 is widely recognised as the standard corpus in this field. While other corpora, like PropBank, primarily focus on annotating predicate-argument structure, ACE-2005 provides comprehensive information about the overall event structure and semantics. However, its limited language coverage restricts its usability. This paper introduces ACE-2005-PT, a corpus created by translating ACE-2005 into Portuguese, with European and Brazilian variants. To speed up the process of obtaining ACE-2005-PT, we rely on automatic translators. This, however, poses some challenges related to automatically identifying the correct alignments between multi-word annotations in the original text and in the corresponding translated sentence. To achieve this, we developed an alignment pipeline that incorporates several alignment techniques: lemmatization, fuzzy matching, synonym matching, multiple translations and a BERT-based word aligner. To measure the alignment effectiveness, a subset of annotations from the ACE-2005-PT corpus was manually aligned by a linguist expert. This subset was then compared against our pipeline results which achieved exact and relaxed match scores of 70.55% and 87.55% respectively. As a result, we successfully generated a Portuguese version of the ACE-2005 corpus, which has been accepted for publication by LDC.

Abstract
The efficient management of assets delivers value and is essential for achieving service objectives, managing risks, and reducing costs. This paper proposes decision-support methods to help capital-intensive industries manage their assets and optimise their life cycle. Optimisation approaches were developed to support longterm investment planning by maximising the value created and minimising the budget used. Also, the trade-off for both objectives was analysed. Using the proposed models will lead to efficient management of available capital and excellent service delivery. Thus, water companies will fulfil the regulator's requirements and present well-founded decision-making. This study was applied to a Portuguese water utility.

Abstract
This work aimed to develop methodologies for analysing statistical correlations among wind data series using various Measure-Correlate-Predict (MCP) methods, with the goal of selecting the most suitable method for extrapolating long-term data with minimal associated uncertainty. It was analysed the minimum time required for a wind measurement campaign when applying this methodology. Fifteen local wind measurement stations were selected. The long-term wind data reanalysis series that exhibited the strongest correlation with the measured wind data at each station was then chosen. Multiple tests were conducted with different simultaneous periods between the measured data series and the long-term series. Fifteen correlation algorithms were tested for each concurrent period. The performance of each model was evaluated using the RMSE (Root Mean Square Error) and MBE (Mean Bias Error) associated with each MCP. Analysis of the errors identified measurement periods with the lowest associated error ranging from 1 to 5 years and a single-factor ANOVA analysis was conducted. Finally, t-significance tests were performed. The study concluded that the Neural Network was the most effective MCP method. Additionally, it was determined that the minimum number of years required for a local measurement campaign should be between 2 and 3 years. © 2024, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

Abstract
Over the years, various immersive virtual training environments (iVTEs) have been developed, allowing companies to start transitioning to Virtual Reality (VR) technologies to train their personnel. This transition forces companies to start using game engines as a foundation to develop such iVTEs, which also requires a multidisciplinary team. When developing such training environments, challenges on how to present tasks to users arise. The way these tasks are presented can dictate the efficacy of the VR training application. This paper presents three different task presentation methodologies (avatar animation, videos, and instruction manual) and assesses them using 36 participants, divided into those three groups. Usability, sense of presence, satisfaction, cybersickness, and technology acceptance variables were studied and results indicated that only the total number of actions performed had differences between groups where the instruction manual reported the higher number of actions (usability) when compared to the other conditions. Therefore it was concluded that the instruction manual proved to be where users kept losing focus and making more actions. It was also concluded that all conditions had a similar sense of presence, satisfaction, cybersickness, and acceptance scores.

Abstract
Introdução: Os hábitos alimentares são uma das principais causas modificáveis de doenças crónicas não transmissíveis. A Dieta Mediterrânica é conhecida por ser um padrão alimentar protetor da saúde e sustentável. Nas últimas décadas, Portugal, tem-se distanciado deste padrão alimentar e aumentado o consumo de alimentos ultraprocessados. Objetivos: Avaliar a adesão ao Padrão Alimentar Mediterrânico, o consumo de alimentos ultraprocessados e fatores associados, em crianças e adolescentes. Metodologia: Estudo transversal, observacional descritivo. Aplicou-se um questionário, que incluía a versão portuguesa do Índice KIDMED e um Índice de consumo de alimentos ultraprocessados construído para este projeto, a uma amostra de conveniência de crianças e adolescentes com idades entre os 10 e os 19 anos. Os dados foram tratados e analisados no programa estatístico SPSS® com um nível de confiança de 95%. Resultados: A amostra incluiu 506 participantes, sendo 54,3% do sexo feminino, com uma idade média de 14,1 anos (dp = 2,5). A adesão ao Padrão Alimentar Mediterrânico correlacionou-se com o consumo de alimentos ultraprocessados (r = 0,447; p < 0,001). Verificou-se uma elevada adesão ao Padrão Alimentar Mediterrânico por 47,8% dos participantes, média adesão por 47,2% e baixa adesão por 4,9%, sendo mais elevada nos indivíduos fisicamente ativos (?2p = 0,012; p = 0,021), nos que têm hábitos de sono à semana adequados (?2p = 0,009; p = 0,045) e nos mais novos (r = -0,112; p = 0,003). O consumo de alimentos ultraprocessados revelou uma pontuação média de 21,8 (dp = 4,8), sendo o sexo masculino (?2p = 0,031; p < 0,001) e os que passam mais tempo em frente ao ecrã (?2p = 0,170; p = 0,005) quem mais consome este tipo de alimentos. Conclusões: Observa-se a necessidade de intervir ao nível da promoção e difusão da Dieta Mediterrânica, uma vez que parece ter impacto na diminuição do consumo de alimentos ultraprocessados, de promover a atividade física, estimular hábitos de sono adequados e mitigar o tempo que as crianças e adolescentes passam em frente aos ecrãs.

Abstract
What causes ineffective external idea evaluation in open innovation (OI) still remains an unsolved puzzle, with most such studies focused on creative idea generation or using samples of untrained evaluators. To help better understand the microfoundations of OI, this article examines the effects of mood on external idea evaluation using a practitioner sample. Drawing on "mood-as-an-input" theory, in two behavioral experiments using music induction, cognitive tasks, and idea framing, we test how one's mood affects the innovativeness rating of an externally developed idea, and examine whether this effect is stable within a mood state regardless of the level of creativity (high and low) of an idea. We found that people in happy and sad mood conditions differ in their evaluation of the same external idea, which is explained by differences in assessment of creativity of an idea and not the perceived certainty of its success. Moreover, a given mood state does not affect how ideas low in creativity are rated in their innovativeness, compared to ideas high in creativity. This article by investigating effects of mood within an OI process augments individual level OI literature, while informing the ways external idea evaluation can be managed toward enhancing OI potential.