As WebQuests e a aprendizagem baseada na resolução de problemas : um estudo centrado no tema som e luz

As Tecnologias da Informação e Comunicação (TIC) invadiram o dia-a-dia dos cidadãos do século XXI e tornaram-se um recurso educativo acessível aos alunos na maior parte das escolas. Aprender a usar as TIC para procurar informação e resolver problemas é essencial para qualquer cidadão que pretenda manter-se atualizado e continuar a aprender autonomamente ao longo da vida. As WebQuests são atividades de resolução de problemas que permitem aos alunos aprender conhecimentos novos resolvendo uma tarefa com recurso a informação disponível na internet. Neste trabalho analisaram-se 26 WebQuests disponíveis em sites portugueses para a unidade Som e Luz (8º ano), a fim de averiguar a sua compatibilidade com o ensino orientado para a Aprendizagem Baseada em Resolução de Problemas (ABRP). Os resultados da análise sugerem que muitas dessas WebQuests têm pouca qualidade científico-pedagógica, bem como pouca exigência cognitiva e precisam ser melhoradas para se tornarem compatíveis com o ensino orientado para a ABRP

Motociclos portugueses: um olhar do design sobre 50 anos de produção

Mestrado em DesignA produção de motociclos em Portugal, teve o seu início a partir da segunda metade do século XX, e esta actividade desenvolveu-se com sucesso durante cerca de cinquenta anos. A entrada de Portugal para a CEE, e consequente abertura dos mercados à produção estrangeira, as graves crises económicas que ocorreram na década de oitenta foram determinantes para o encerramento de grande parte desta indústria, cuja fragilidade se revelou na dificuldade em competir com modelos técnica e formalmente mais evoluídos apresentados no mercado nacional pela indústria japonesa. Este ciclo de evolução/extinção da produção ciclomotorizada em Portugal ofereceu-se como uma oportunidade para a análise feita a partir dos seus resultados, sob a perspectiva do design. Assim, nesta dissertação procedeu-se à caracterização, classificação e avaliação dos modelos concebidos e produzidos por esta indústria segundo três eixos analíticos: autoria, tecnologia e programa. O património cultural que esta produção legou, parte indiscutível da História do Design Português, representa um espólio de considerável potencial para a compreensão da história e da cultura portuguesas da segunda metade do século XX o que, em última análise, depois de devidamente estudado poderá ajudar a sedimentar a identidade cultural do nosso país e consolidar uma memória que deverá estar acessível a todos.During the post-war period, when the industrial conditioning imposed by the State was one of the determining factors that promoted the industrialization in Portugal, design was not considered a supporting tool in this process. Even without a design-informed project practice, the production of motoroperated vehicles of two or three wheels, which began on the second half of the 20th century, was successfully developed through nearly fifty years. The inclusion of Portugal in the EEC and consequent opening of markets to foreign production, together with the severe economic crisis that occurred in the 80’s decade, resulted in the close-up of an important part of this industry, whose fragility was revealed even through the difficulty to resist to mere changes in the legislation about driving licenses. Such cycle of evolution/extinction of motorcycle production on Portugal revealed itself as an opportunity for the analysis of its results under a designoriented perspective. This dissertation consists therefore in the characterization of the models designed and produced by this industry according to three analytic axes, typological, morphological, and of performance. The cultural assets left by such production represent a heritage of significant potentiality for the understanding of Portuguese history and culture in the 2nd half of the 20th century. Conveniently studied, such knowledge could help consolidate our country’s cultural identity and a memory that should be available to everyone

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

Footwear segmentation and recommendation supported by deep learning: an exploratory proposal

The management of an online footwear retail store-Also known as marketplace-usually involves activities that directly or indirectly end up to interface with customers, wherein communication efficiency and effectiveness is crucially relevant. Critical factors concerning entities developing remote business in these areas or similar include: (i) production of appealing catalogues and (ii) digital tools to shorten the distance between customers and marketplaces. The former requires using specific third parties-often technically complex-To arrange and prepare photographic entries acquired in studio-like environments. This can delay the diffusion of products supply that may result in financial losses. The latter prevents the retailer of reaching critical mass at a higher potential. Considering such issues, this paper proposes a couple of modules for footwear marketplaces, powered by deep learning: one to segment shoes as a fully automatic background removal tool for easing and quickening catalogue creation activities in a back-office perspective; and another to provide visual search services that allow a customer to submit photographs of footwear of interest to obtain recommendations of similar products directly retrieved from online retail databases, establishing another digital bridge with potential buyers. Preliminary implementation and pilot tests point out Mask-RCNN as a promising approach for shoes segmentation. The same applies to ResNet101 and Xception, but for shoes recommendation, based on multi-label classification.This work was financed by the project “GreenShoes 4.0 - Footwear, Leather Goods and Advanced Material, Equipment and Software Technologies” (N° POCI-01-0247-FEDER-046082), supported by COMPETE 2020, under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF)