Abstract
Virtual reality and emotions have become inseparable concepts over the past few years, supported by the increasing number of studies relating them. However, these studies' methodologies are often poorly justified or dependent on the authors' subjective definition of emotion and its classification. Moreover, frequently, these studies only consider two stimuli, specifically audiovisual, despite being known the relevance of including a greater variety of sensory channels to improve the relationship between the individual and the virtual environment. So, to address these gaps, and considering the importance of multisensory stimulation, this paper aims to review the methods and instruments found in the literature regarding the analysis of the users' emotions in virtual reality. Also, we provide an overview of the main limitations of such studies. Little information can be found in the literature regarding the connection between the input stimulus and the users' emotional responses. This corroborates the difficulty in creating and evaluating immersive virtual experiences when stimulating more than two human senses, typically audiovisual. Nevertheless, we address some clues on the impact of visual, auditory, haptic, smell, and taste elements to trigger specific emotions. Also, we address the association between the research area and the method used. Finally, the main gaps and challenges are discussed. We expect that the combination of these results acts as guidelines for designing richer multisensory virtual experiences. Moreover, we intend to contribute to future research on emotions-based immersive virtual reality by providing a review of the most suitable methodologies and instruments for specific contexts.

Abstract
Research data management is essential for safeguarding and prospecting data generated in a scientific context. Specific issues arise regarding data in image format, as this data typology poses particular challenges and opportunities; however, not much attention has been given to data as images. We reviewed 109 articles from several research domains where images were used either as data or metadata to understand how researchers specifically deal with this data format, and what are your habits and behaviors. We use the Web of Science (WoS), considering its five main areas of research. We included in the initial corpus the most relevant articles by research domain, selecting the ten most cited articles in WoS, by year, between 2010 and 2021. The selected articles should be in English and in open access. The results found that images have been used in scientific works numerous times, but, unfortunately, few are those in which they are the central element of the study. Photography is the type of image most used in most domains. In terms of the instruments used, the Technology and Life Sciences and Biomedicine domains use the microscope more, while the Arts and Humanities and Physical Sciences domains use the camera more. We found that the images are mostly produced in the context of the project, rather than reused by third parties. As for their collection scenario, these are mostly produced/used in a laboratory context. The overwhelming majority of the images present in the articles are digital, and only a small part is analog. We verify that Arts and Humanities are more likely to perform qualitative types of analyses, while Life Sciences and Biomedicine overwhelmingly use quantitative analyses. As for the issues of sharing and depositing, Life Sciences and Biomedicine is the domain that stands out the most in the tasks of depositing and sharing images. It was found that the licenses of a project are intrinsically related to the motivations for sharing results with third parties. Description, a fundamental step in the data management process, is neglected by a large number of researchers. The images are mostly not described or annotated and when this happens, researchers don't provide much detail about this.

Abstract
Nowadays, Mobility, in all its dimensions (transport mobility, sustainable mobility, active mobility, and Mobility as a Service (MaaS)), is an essential dimension in sustainable development goals, allowing to increase in the quality of life, the health, the social inclusion and to reduce climate action in any society. To increase the citizens' awareness and promote a true behavioral change, the citizens need to feel part of the process. Gamification has proved to be effective in raising citizens' awareness, encouraging their participation, and promoting a gradual but profound behavior change in various areas such as participatory governance, tourism, culture, education, etc. Gamification can also propel a Smart Living Society 5.0 among the younger groups of the society, especially in the context of academic communities that are more knowledgeable and eager to foster a healthier, more sustainable, and more inclusive society. Smart Living Society 5.0 is an activity in the scope of the TECH - Tecnologia, Ambiente, Criatividade e Saude - a project of NORTE 2020, focusing on creating an Academic MaaS (AMaaS). At this stage, it is essential to know about gamification use cases related to new mobility solutions and practices. The paper presents successful cases of mobility systems and services that consider gamification to promote and incentivize their use concerning active mobility and sustainable mobility; it discusses the potential of gamified systems to achieve a gamification proposal approach to implement in the AMaaS under development.

Abstract

Abstract
Currently, Unmanned Aerial Vehicles (UAVs) are considered in the development of various applications in agriculture, which has led to the expansion of the agricultural UAV market. However, Nano Aerial Vehicles (NAVs) are still underutilised in agriculture. NAVs are characterised by a maximum wing length of 15 centimetres and a weight of fewer than 50 g. Due to their physical characteristics, NAVs have the advantage of being able to approach and perform tasks with more precision than conventional UAVs, making them suitable for precision agriculture. This work aims to contribute to an open-source solution known as Nano Aerial Bee (NAB) to enable further research and development on the use of NAVs in an agricultural context. The purpose of NAB is to mimic and assist bees in the context of pollination. We designed this open-source solution by taking into account the existing state-of-the-art solution and the requirements of pollination activities. This paper presents the relevant background and work carried out in this area by analysing papers on the topic of NAVs. The development of this prototype is rather complex given the interactions between the different hardware components and the need to achieve autonomous flight capable of pollination. We adequately describe and discuss these challenges in this work. Besides the open-source NAB solution, we train three different versions of YOLO (YOLOv5, YOLOv7, and YOLOR) on an original dataset (Flower Detection Dataset) containing 206 images of a group of eight flowers and a public dataset (TensorFlow Flower Dataset), which must be annotated (TensorFlow Flower Detection Dataset). The results of the models trained on the Flower Detection Dataset are shown to be satisfactory, with YOLOv7 and YOLOR achieving the best performance, with 98% precision, 99% recall, and 98% F1 score. The performance of these models is evaluated using the TensorFlow Flower Detection Dataset to test their robustness. The three YOLO models are also trained on the TensorFlow Flower Detection Dataset to better understand the results. In this case, YOLOR is shown to obtain the most promising results, with 84% precision, 80% recall, and 82% F1 score. The results obtained using the Flower Detection Dataset are used for NAB guidance for the detection of the relative position in an image, which defines the NAB execute command.

Abstract
O Exame Nacional de Desempenho de Estudantes (ENADE) compõe uma das bases avaliativas do Sistema Nacional de Avaliação da Educação Superior e tem como principal propósito, avaliar o rendimento dos estudantes a partir da sua formação nos cursos de graduação. Por isso, este trabalho identificou a possibilidade de se basear nesses resultados para aprimorar os processos de ensino-aprendizagem. Para tanto, este artigo apresenta o planejamento, criação e avaliação de uma plataforma de aprendizagem Web responsiva, baseada no ENADE e que utiliza elementos de gamificação com o propósito de aumentar o engajamento dos estudantes. O software foi avaliado, por meio de questionários de aceitação tecnológica, aplicados com 38 usuários e que apresentou resultados promissores, com média geral de 4,71 entre 5 pontos possíveis.