Abstract Enhancer binding proteins (EBPs) are key players of σ54-regulation that control transcription in response to environmental signals. In the anaerobic microorganism Desulfovibrio vulgaris Hildenborough (DvH), orp operons have been previously shown to be coregulated by σ54-RNA polymerase, the integration host factor IHF and a cognate EBP, OrpR. In this study, ChIP-seq experiments indicated that the OrpR regulon consists of only the two divergent orp operons. In vivo data revealed that (i) OrpR is absolutely required for orp operons transcription, (ii) under anaerobic conditions, OrpR binds on the two dedicated DNA binding sites and leads to high expression levels of the orp operons, (iii) increasing the redox potential of the medium leads to a drastic down-regulation of the orp operons expression. Moreover, combining functional and biophysical studies on the anaerobically purified OrpR leads us to propose that OrpR senses redox potential variations via a redox-sensitive [4Fe?4S]2+ cluster in the sensory PAS domain. Overall, the study herein presents the first characterization of a new Fe?S redox regulator belonging to the σ54-dependent transcriptional regulator family probably advantageously selected by cells adapted to the anaerobic lifestyle to monitor redox stress conditions.

Found in the Upper Jurassic outcrops of Lourinhã, Portugal, and first published in 1997, the Paimogo dinosaur egg clutch is one of Portugal’s most remarkable fossils, with over one hundred eggs preserved in association with embryonic bones, of the allosauroid theropod Lourinhanosaurus. However, many questions about it have remained unanswered, even until the present day. After its discovery, this extraordinary fossil became the keystone of a small local museum, greatly kick-starting regional tourism, while also holding the fossils in trust for future generations to study. More than 20 years later, continually sustained paleontological interest from the public has even given rise to both a highly successful dinosaur theme park in the region and an aspiring UNESCO Geopark. Recently, a multidisciplinary team of preparators, paleontologists, sedimentologists, mineralogists, and geochemists revisited an unopened jacket from the original excavation using an array of techniques to address various questions. Studies are ongoing, but the corpus of information obtained and the methodologies utilized to gather data have offered an opportunity to design an exhibit around the history of the Paimogo clutch, highlighting the scientific methods involved, and asserting the importance of preserving geological heritage for the future, when new tools will doubtlessly become available to provide yet another new look at old fossils. Here, we describe our analytical procedures and present an innovative exhibit designed to introduce to the public the latest advances on the research behind an iconic piece of Portuguese geoheritage, increasing its value both as a research item and as an educational resource.

New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganization of the automotive cluster. (ILO, 2020) Due to recent technological advances derived from the application of AI in the domains of autonomous driving, connectivity, automation, and robotics, the automotive sector is evolving from the traditional, linear, product-oriented value chain to a mobility, service oriented one including new players (ILO, 2020). In fact, in the last years, several digital competences centers are supplying the automotive sector and have been installed in Portugal. These changes are put in place to enhance the product quality, to control costs and to improve productivity. The product shift is done to respond to new regulations on environmental protection, and to enable the control of some emergent market niches.
The paper will contribute to answer the question: what are the expectable changes in productivity due to the introduction of AI in the automotive sector and at new players in the automotive value chain in Portugal? Do they have impacts in traditional labour relations in the sector? Did the COVID-19 had an effect in the acceleration of such changes? Does the employment in the automotive sector changed with the recent automation trends in Portugal? Are there signs of improvement in qualifications with increases in automation? Or can we observe a clear job precarity in the automotive labour market with increased application of cyber physical systems in this sector? We want to develop this framework of questions to collect new data and obtain results that will be based on case studies from the automotive cluster. We will use, as well, secondary statistical analysis. Finally, changes in the productivity and labour market will be discussed in relation to the employment volume and skills in the automotive sector.
In this recently approved national project, we will focus on AI (cyber-physical systems, intelligent automation, robotics, IoT) as the most relevant emergent technology to understand the development of automation in this manufacturing sector (Geels et al., 2012; Moniz 2018). R&D investments in industrial processes in general may reflect productivity improvements derived from the increased automation process, but that may not be the general trend. Our empirical data are based until now on initial case studies from the automotive and components sector combined with database search by keywords that sign intelligence automation developments and AI applications selected from national R&D projects on robotics, machine learning, collaborative tools, human-machine interaction and autonomous systems, supported by European structural funds. The implications on industrial productivity and employment will be discussed in relation to automation trends in the automotive sector.

In this paper we will address the impacts on work and employment in Portugal of undergoing reconfigurations in automotive Global Value Chains (GVC). Due to its contributions to employment, exports and production the automotive sector is regarded as strategic for Portugal. Currently, it is caught in the midst of a turmoil, spurred by major trends that are reshaping its global outlook, with perils and opportunities for firms and workers depending on their position in different segments of GVC. The emergence of GVC transformed the patterns of international division of labour, trade and investment. Countries and regions specialize not only in products and services but increasingly in tasks and functions. Value is created globally and is apportioned along the chain depending on the tasks performed, the resources and type of workforce engaged in production in each node, its geographical location and the relative power relations within the production network. Typically, along GVC’s production stages, labour intensive, low skill tasks are ascribed – offshored and subcontracted by lead firms – to firms and workers in peripheral countries, while knowledge intensive, more complex or higher skilled tasks are retained in core regions. The value captured, as well as the share of value ascribed to labour and the quality of employment, are broadly correlated with its position in the chain. GVC, besides firms or even sectors, thus become an appropriate locus for analysing labour processes and employment patterns.
Major trends reconfiguring automotive global networks of production, include: (i) automation; (ii) digitalisation; (iii) electrification of vehicles; (iv) shifting geographies of production; and (v) industrial, employment and social policies. Manufacture of vehicles is known to be an automation-intensive sector permeated by technological developments such as new cyber-physical systems and flexible lightweight robots with an impact on work and employment, particularly on low-skilled workers. National and regional industrial, trade and investment policies articulated with company strategies, are also participating in the reshaping of the automotive GVC and changing the geographies of production. Finally, employment and social policies impinge on and are conditioned by foreign investment and location decisions of automotive multinationals, thus participating in the reshaping of GVC. In order to respond to the main overarching research question (what are the actual and prospective impacts on work and employment in Portugal driven by transitions taking place in the automotive GVC?) an analytical model will be designed. It will place the ongoing and prospective transformations of work and employment patterns as consequence of the interplay of actor’s strategies and public policies, against the background of structures and institutions. The research study will be based on major OEM operating in Portugal (VW, Stellantis, Mitsubishi and Toyota) and on automotive supply chain companies, most of them major player on the automotive GVC (Faurecia, KWD, Vintech, Sodecia, Preh).

This report is the 3rd and final report elaborated for the project CrowdWork by the Portuguese team. The text provides the context in which digital platforms operate, as well as the main governmental initiatives in some of the sectors. Five case studies provide a description of each sector and an analysis of the existing / emerging collective
organisations, their promotors, rationale and extension. In the last chapter, the text presents our main conclusions and recommendations for policy making.

The potential of technology for teaching and learning mathematics has been widely recognized. However, research has shown that the integration of technology into teaching practice has proved to be difficult, with teachers' knowledge and professional development being identified as a determinant factor. Although there tends to be a focus on the teacher's knowledge of technology, the literature suggests that attention needs to be given to how to integrate technology into teaching practice, thereby involving other types of knowledge. This awareness has led several authors, inspired by Shulman's work, to develop models or conceptualizations of the knowledge required for effective integration of technology.
This study is based on a literature review of the research conducted on the models TPACK - Technological Pedagogical and Content Knowledge, KTMT - Knowledge for Teaching Mathematics with Technology, and PTK/MPTK - Mathematical Pedagogical Technology Knowledge and aims to carry out an analysis of the similarities and differences between the models considered. The main conclusions reached suggest the existence of a common basis for the models considered, but also point to several differences between them, with some highlighting the role of technology and its impact on the teaching and learning process, while others aim to integrate into the model elements based on research on technology or theories related to technology integration, such as instrumental genesis.

The EU unveiled a stimulus package as part of the multiannual financial framework (MFF) for 2021–2027 and the temporary instrument designed to boost the economic recovery. This countercyclical response is aimed at avoiding a decline in the EU economy and protecting employment, vulnerable companies and necessity-driven entrepreneurs; however, it should also lay the foundations for a desirable entrepreneurial paradigm for the future that is driven by opportunity and embedded in a Circular Economy aligned to global well-being. We propose a new model that implies a different EU policy which puts entrepreneurship on the path toward and not away from development.

n/a