Abstract
Seizure semiology is a well-established method to classify epileptic seizure types, but requires a significant amount of resources as long-term Video-EEG monitoring needs to be visually analyzed. Therefore, computer vision based diagnosis support tools are a promising approach. In this article, we utilize infrared (IR) and depth (3D) videos to show the feasibility of a 24/7 novel object and action recognition based deep learning (DL) monitoring system to differentiate between epileptic seizures in frontal lobe epilepsy (FLE), temporal lobe epilepsy (TLE) and non-epileptic events. Based on the largest 3Dvideo-EEG database in the world (115 seizures/+680,000 video-frames/427GB), we achieved a promising cross-subject validation f1-score of 0.833 +/- 0.061 for the 2 class (FLE vs. TLE) and 0.763 +/- 0.083 for the 3 class (FLE vs. TLE vs. non-epileptic) case, from 2 s samples, with an automated semi-specialized depth (Acc.95.65%) and Mask R-CNN (Acc.96.52%) based cropping pipeline to pre-process the videos, enabling a near-real-time seizure type detection and classification tool. Our results demonstrate the feasibility of our novel DL approach to support 24/7 epilepsy monitoring, outperforming all previously published methods.

Abstract
Os ambientes de aprendizagem imersivos são espaços onde se coocorrem dois fenómenos complexos: a aprendizagem e a imersão, levantando dificuldades de interpretação e, consequentemente, da liberdade de decisão dos participantes para sua orquestração pedagógica ou de aprendizagem. Neste trabalho apresenta-se uma conceptualização teórica que combina estes fenómenos, com o objetivo de contribuir para a resolução deste problema. Demonstra-se através de cinco casos como esta conceptualização permite novas formas de interpretar e analisar a aprendizagem, para dessa forma concretizar o potencial de impacte sobre a orquestração pedagógica e a regulação da aprendizagem.

Abstract
Monitoring invasive plant species is a crucial task to assess their presence in affected ecosystems. However, it is a laborious and complex task as it requires vast surface areas, with difficult access, to be surveyed. Remotely sensed data can be a great contribution to such operations, especially for clearly visible and predominant species. In the scope of this study, water hyacinth (Eichhornia crassipes) was monitored in the Lower Mondego region (Portugal). For this purpose, Sentinel-2 satellite data were explored enabling us to follow spatial patterns in three water channels from 2018 to 2021. By applying a straightforward and effective methodology, it was possible to estimate areas that could contain water hyacinth and to obtain the total surface area occupied by this invasive species. The normalized difference vegetation index (NDVI) was used for this purpose. It was verified that the occupation of this invasive species over the study area exponentially increases from May to October. However, this increase was not verified in 2021, which could be a consequence of the adopted mitigation measures. To provide the results of this study, the methodology was applied through a semi-automatic geographic information system (GIS) application. This tool enables researchers and ecologists to apply the same approach in monitoring water hyacinth or any other invasive plant species in similar or different contexts. This methodology proved to be more effective than machine learning approaches when applied to multispectral data acquired with an unmanned aerial vehicle. In fact, a global accuracy greater than 97% was achieved using the NDVI-based approach, versus 93% when using the machine learning approach (above 93%).

Abstract
Purpose This paper focuses on understanding the contribution of Industry 4.0 technologies to manufacturing flexibility. Design/methodology/approach A multiple-case study was conducted through interviews and complementary data from 12 adopters of Industry 4.0 technologies from the industrial sector. To enable a broad perspective, cases from 5 industry sectors with different technological intensity levels were studied. Findings The findings show that Industry 4.0 technologies are mostly used to improve machine flexibility since there is a major focus on technological approaches rather than on wider flexibility. The results also showed that cloud services, IoT, and data analytics provide the basis for flexible operation, and collaborative robots, ERP/MES/PLM, AGVs, and traceability devices are the most commonly implemented technologies for flexibility. However, inherent contingency factors such as production complexity and product life cycle need to be considered. Originality/value This article expands the research on manufacturing flexibility, considering new capabilities introduced by Industry 4.0.

Abstract
The high levels of degradation characteristic of ancient DNA molecules severely hinder the recovery of endogenous DNA fragments and the discovery of genetic variation, limiting downstream population analyses. Optimization of read mapping strategies for ancient DNA is therefore essential to maximize the information we are able to recover from archaeological specimens. In this paper we assess Burrows-Wheeler Aligner (BWA) effectiveness for mapping of ancient DNA sequence data, comparing different sets of parameters and their effect on the number of endogenous sequences mapped and variants called. We also consider different filtering options for SNP calling, which include minimum values for depth of coverage and base quality in addition to mapping quality. Considering our results, as well as those of previous studies, we conclude that BWA-MEM is a good alternative to the current standard BWA-backtrack strategy for ancient DNA studies, especially when the computational resources are limited and time is a constraint.

Abstract
The support and influence of industrial business associations (IBAs) for the internationalisation process of small and medium-sized enterprises (SMEs) is questioned. This qualitative case study on the textile industry in Portugal illustrates how SMEs are influenced by their IBA. Findings suggest that it has a preponderant role in supporting the international expansion of associated SMEs. Particularly, the promotion and organisation of trade fairs seem to foster first entries and continuous international expansion in the same way the IBA seems to influence their foreign market selection. However, SMEs feel that the IBA’s work could still be improved by their facilitating more matchmaking processes, promoting collaborations, improving their seizing of available internationalisation opportunities, and providing more information about agents and distributors in foreign markets. Thus, we can say that, despite the internet and global opportunities that firms can directly benefit from, the role of IBAs is still relevant for SME’s internationalisation, and there is still room for improvement.