RCAAP Repository

Esta Newsletter (NL) resulta de uma parceria entre o Instituto de Saúde Baseada na Evidência e a Cochrane Portugal, e tem como objectivo disponibilizar informação sobre áreas interessantes para a prática clínica, com base na melhor evidência científica. São incluídos estudos relevantes, criticamente avaliados pela sua validade, importância dos resultados e aplicabilidade prática, resumidos numa óptica de suporte à decisão. É dada prioridade a estudos de causalidade incluindo-se ainda, quando justificado, estudos qualitativos e metodológicos, assim como revisões científicas. O conteúdo da NL é da exclusiva responsabilidade do(s) seu(s) autor(es).

Sprouting angiogenesis is fundamental for development and contributes to cancer, diabetic retinopathy, and cardiovascular diseases. Sprouting angiogenesis depends on the invasive properties of endothelial tip cells. However, there is very limited knowledge on how tip cells invade into tissues. Here, we show that endothelial tip cells use dactylopodia as the main cellular protrusion for invasion into nonvascular extracellular matrix. We show that dactylopodia and filopodia protrusions are balanced by myosin IIA (NMIIA) and actin-related protein 2/3 (Arp2/3) activity. Endothelial cell-autonomous ablation of NMIIA promotes excessive dactylopodia formation in detriment of filopodia. Conversely, endothelial cell-autonomous ablation of Arp2/3 prevents dactylopodia development and leads to excessive filopodia formation. We further show that NMIIA inhibits Rac1-dependent activation of Arp2/3 by regulating the maturation state of focal adhesions. Our discoveries establish a comprehensive model of how endothelial tip cells regulate its protrusive activity and will pave the way toward strategies to block invasive tip cells during sprouting angiogenesis.

Mobility has been in the academic spotlight at least since the 1980s, in the wake of globalisation studies (Salazar 2013), together with post-modern trends, which called for a theoretical breach in an academic scene dominated by perspectives on structures, territory and stasis (examples of this breach can be found in Clifford 1997; Deleuze and Guattari 1987; de Certeau 1984; Virilio 1986). In this context, ‘the nomad – whether traveller, refugee, runaway’ became ‘the symbolic identity of our age’, as suggested by Kendal, Woodward and Skrbis (2009, 85). At the turn of the millennium, the world was portrayed as revolving around movement and migration, transnationalism and hybridism, networks and cosmopolitanism, liquidity and fluidity, nomads and runaways (Salazar 2020). Metaphorized as proximity and togetherness, along with cultural exchange, hybridism, networks, connectedness and cosmopolitanism, mobility was perceived by many as positive and as reducer of inequality gaps. Just as social mobility was systematically translated to its upwards trajectory towards the erasure of social, economic, and cultural inequality, physical mobility was conceived along the same lines, having the potential to challenge the ‘old’ boundaries of nationalism, ethnicity, race and even gender. In a word, mobility was equated to the promise of a more cosmopolitan, ethical, better world.

In this article, we aim to identify the actors and unpack the discourses and administrative practices used to increase current mobilities of people (Jewish immigrants, investors, tourist visitors, and evicted residents) and explore their impact on the continuity of the settler-colonial regime in pre-1948 Palestinian urban spaces which became part of Israel. To render these dynamics visible, we explore the case of Acre—a pre-1948 Palestinian city located in the north-west of Israel which during the last three decades has been receiving about one hundred Jewish immigrant families annually. Our findings reveal a dramatic change in the attempts to judaise the city: Mobility policies through neoliberal means have not only been instrumental in continuing the processes of displacement and dispossession of the Palestinians in this so-called ‘mixed city,’ but have also recruited new actors and created new techniques and opportunities to accelerate the judaisation of the few Palestinian spaces left. Moreover, these new mobility policies normalise judaisation of the city, both academically and practically, through globally trendy paradigms and discourses. Reframing migration-led development processes in cities within a settler-colonialism approach enables us to break free from post-colonial analytical frameworks and re-centre the native-settler relations as well as the immigrants-settlers’ role in territorial control and displacement of the natives in the neoliberal era.

Expanding urbanization rates have engendered increasing research examining linkages between urban environments and older adults' well-being. This mixed-methods systematic review synthesizes the evidence for the influence of urban neighborhoods' attributes on older adults' well-being. We searched for literature published up to December 2020 across six databases and performed quality assessment and thematic analysis. The results, based on 39 identified studies, showed that natural areas in neighborhoods and a sense of community are the attributes most often associated with positive effects on well-being. Transit-related variables, urban furniture, and access to healthcare are also positively related to well-being. Neighborhoods may promote well-being more effectively when these elements are considered. However, almost half of the studies did not include all environmental dimensions simultaneously, and self-reported instruments were largely preferred over more objective assessments of the environment. Future research should thus holistically examine physical, social, and service-related attributes to produce more robust evidence.

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O ModuLetter é um sistema de tipografia modular que combina os materiais do letterpress, como a madeira e o chumbo, com sensores e motores (controlados por microcontroladores Arduino® ou similares e software original dedicado), de caráter reativo e interativo, assente nos princípios preconizados por Josef Albers no seu sistema Kombinationsschrift „3“, desenvolvido e publicado durante a sua passagem pela Bauhaus. No plano estrutural e material, o sistema de Albers serviu de inspiração não só ao nível dos princípios da modularidade tipográfica no sentido mais lato e evidente do desenho, da definição das grelhas e da escolha de módulos geométricos, como também ao nível do princípio da economia de meios possibilitada pela standardização formal e modularidade dos vários componentes (Albers, 1931, p. 3), no que concerne tanto aos tipos de chumbo como às peças móveis e componentes elétricos e eletrónicos. No plano funcional e utilitário, o sistema ModuLetter possibilitará a utilizadores de todas as idades e grau de proficiência a aprendizagem dos princípios estruturantes da tipografia modular (num possível processo de introdução simplificado e lúdico para um estudo futuro mais aprofundado do desenho da letra e do type design), e dos materiais e processos de trabalho do letterpress por via de experimentações em suporte físico, e a produção de provas impressas multicolores a partir daquelas, permitindo-lhes ainda escolher neste último ponto do uso da cor entre o controlo absoluto do resultado final ou a introdução de fatores de aleatoriedade. Neste artigo são explicitadas as bases referenciais e conceptuais do projeto, assim como os seus constituintes físicos e digitais e o seu modelo de funcionamento.

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We contend that the exclusive focus on the English language in scientific research might hinder effective communication between scientists and practitioners or policy makers whose mother tongue is non-English. This barrier in scientific knowledge and data transfer likely leads to significant knowledge gaps and may create biases when providing global patterns in many fields of science. To demonstrate this, we compiled data on the global economic costs of invasive alien species reported in 15 non-English languages. We compared it with equivalent data from English documents (i.e., the InvaCost database, the most up-to-date repository of invasion costs globally). The comparison of both databases (~7500 entries in total) revealed that non-English sources: (i) capture a greater amount of data than English sources alone (2500 vs. 2396 cost entries respectively); (ii) add 249 invasive species and 15 countries to those reported by English literature, and (iii) increase the global cost estimate of invasions by 16.6% (i.e., US$ 214 billion added to 1.288 trillion estimated from the English database). Additionally, 2712 cost entries - not directly comparable to the English database - were directly obtained from practitioners, revealing the value of communication between scientists and practitioners. Moreover, we demonstrated how gaps caused by overlooking non-English data resulted in significant biases in the distribution of costs across space, taxonomic groups, types of cost, and impacted sectors. Specifically, costs from Europe, at the local scale, and particularly pertaining to management, were largely under-represented in the English database. Thus, combining scientific data from English and non-English sources proves fundamental and enhances data completeness. Considering non-English sources helps alleviate biases in understanding invasion costs at a global scale. Finally, it also holds strong potential for improving management performance, coordination among experts (scientists and practitioners), and collaborative actions across countries. Note: non-English versions of the abstract and figures are provided in Appendix S5 in 12 languages.

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Temporal data is ubiquitous in ecology and ecologists often face the challenge of accurately differentiating these data into predefined classes, such as biological entities or ecological states. The usual approach consists of transforming the time series into user-defined features and then using these features as predictors in conventional statistical or machine learning models. Here we suggest the use of deep learning models as an alternative to this approach. Recent deep learning techniques can perform the classification directly from the time series, eliminating subjective and resource-consuming data transformation steps, and potentially improving classification results. We describe some of the deep learning architectures relevant for time series classification and show how these architectures and their hyper-parameters can be tested and used for the classification problems at hand. We illustrate the approach using three case studies from distinct ecological subdisciplines: i) insect species identification from wingbeat spectrograms; ii) species distribution modelling from climate time series and iii) the classification of phenological phases from continuous meteorological data. The deep learning approach delivered ecologically sensible and accurate classifications demonstrating its potential for wide applicability across subfields of ecology.

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