Abstract
This article presents the final design of the METIS/ELT warm support structure subsystem. It provides the mechanical interface between the cryostat and the Nasmyth platform, and it consists of three substructures: the elevation platform, the cryostat alignment structure, and the instrument access platform. The elevation platform is connected to the Nasmyth platform and holds the cryostat alignment platform, consisting of seven legs connected to three nodes. The cryostat alignment platform is a hexapod holding the cryostat, allowing maintenance, alignment, and positioning. The instrument access platform allows human access to the cryostat, it bears the cable support system and is prepared to support the future Single Laser Adaptive Optics system. The subsystem requirements, design trade-offs, interface considerations, and the substructures' final design and simulation results will be detailed as presented to the METIS Final Design Review in 2022.

Abstract
EMOS (The European Master in Official Statistics) was set up to strengthen the collaboration within academia and producers of official statistics and help develop professionals able to work with European official data at different levels in the fast-changing production system of the 21st century. In this paper we address the need for training in Official Statistics, particularly in current times, where new skill sets and competencies are necessary. In particular, the needs for new data sources currently used by national statistical systems require the development of new methodologies. For that purpose, we do a matching between National Statistical Offices (NSO) needs and the offer from universities.

Abstract
The bedbug and the grape moth are the most significant pests affecting rice and vineyards, causing great damage. However, these pests are only two examples of the many insect pests that exist with great potential to cause significant crop damage. Insect traps are among the most appropriate solution for monitoring and counting, influencing the selection and dosage of the pesticide to be applied for pest control. However, the counting and monitoring operations are based on the frequent visit of technicians to the site and are supported by inefficient counting methods, which is a challenging and time-consuming task. This study proposes the automatic counting of bedbugs and grape moths in traps using deep learning algorithms. We use three different databases, Pest24, Bedbug and Grape moth. Pest24 is a public dataset with a great diversity of insects. The Bedbugs and the Grape moth datasets are private datasets provided by mySense, a precision agriculture platform developed and managed by researchers from the University of Tras-os-Montes e Alto Douro (UTAD). First, we trained the Pest24 dataset with YOLOv5, and we got an mAP of 69.3%. Then, using the weights obtained from the Pest24 dataset, we trained the Bedbug and Grape moth datasets. The best results for the bedbug dataset were obtained with the YOLOv5 with transfer learning with an AP of 96.5% and a counting error of 63.3%. The best result was obtained with YOLOv5 without transfer learning of Pest24 with an AP of 90.9% and a counting error of 6.7 for the Grape moth.

Abstract
Este manuscrito tem por objectivo apresentar aos estudantes um documento orientador para a elaboração de trabalhos científicos. Visa colmatar um descuido grave no ensino superior que é pretender desenvolver capacidades para a pesquisa científica e sua divulgação, sem que no processo se ensine aos discentes como se escreve um artigo científico. Este documento segue a estrutura do artigo científico e em cada das secções descrevem-se aqueles que devem ser os conteúdos a serem contemplados. O propósito deste estilo de apresentação é proporcionar aos que se iniciam na escrita de artigos científicos os detalhes a serem incluídos de modo a satisfazerem o que é exigido pelas equipas editoriais dos periódicos científico com avaliação por pares.

Abstract

Abstract
One of the most important phases in the Web development cycle is testing. There are several types of tests, different approaches to their use and a wide range of tools. However, most of them are not open source, require coding and do not have a pedagogical nature. This article introduces WebPuppet as an automated Web UI testing tool. The tool is distributed as a small Node package and can be easily integrated into any learning environment in the web development domain. In addition, it does not require coding in any language, just use a very simple domain-specific language that will generate a test script to run in client applications. In order to exemplify its use, a simple test scenario based on a login page is presented.