24 research outputs found

    Knowledge management framework based on brain models and human physiology

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    The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications

    BioDR : semantic indexing networks for biomedical document retrieval

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    In Biomedical research, retrieving documents that match an interesting query is a task performed quite frequently. Typically, the set of obtained results is extensive containing many non-interesting documents and consists in a flat list, i.e., not organized or indexed in any way. This work proposes BioDR, a novel approach that allows the semantic indexing of the results of a query, by identifying relevant terms in the documents. These terms emerge from a process of Named Entity Recognition that annotates occurrences of biological terms (e.g. genes or proteins) in abstracts or full-texts. The system is based on a learning process that builds an Enhanced Instance Retrieval Network (EIRN) from a set of manually classified documents, regarding their relevance to a given problem. The resulting EIRN implements the semantic indexing of documents and terms, allowing for enhanced navigation and visualization tools, as well as the assessment of relevance for new documents.Fundação para a Ciência e a Tecnologia (FCT)Maria Barbeito” contract XuntaHUELLA financed by the Consellería de Sanidade (Xunta de Galicia de Galicia

    Biomedical text mining applied to document retrieval and semantic indexing

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    In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and general purpose approach to the process of document retrieval that enables the filtering of PubMed query results. The system is based on semantic indexing providing, for each set of retrieved documents, a network that links documents and relevant terms obtained by the annotation of biological entities (e.g. genes or proteins). This network provides distinct user perspectives and allows navigation over documents with similar terms and is also used to assess document relevance. A network learning procedure, based on previous work from e-mail spam filtering, is proposed, receiving as input a training set of manually classified documents

    Metrópoles, cobertura vegetal, áreas verdes e saúde

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    The lack of planning in the urbanization process of big cities worldwide has produced numerous negative externalities, including the suppression of vegetation and green spaces. Multiple benefits have been reported on how urban vegetation promotes and influences environmental, social and economic factors, as well as people's health. This paper presents a series of studies focusing on the association between urban vegetation and human health, as well as a brief reflection on the importance of this issue in the city of São Paulo.A falta de planejamento no processo de urbanização das grandes metrópoles tem produzido numerosas externalidades negativas, entre elas a supressão de sua cobertura vegetal e de áreas verdes. Inúmeros benefícios têm sido reportados sobre como a presença da vegetação no meio ambiente urbano favorece fatores ambientais, sociais e econômicos, influenciando na saúde da população. O presente trabalho busca apresentar uma série de estudos com enfoque na associação entre áreas verdes e saúde e também uma sucinta reflexão sobre a importância do assunto no município de São Paulo

    Rede de atenção às urgências e emergências e a produção viva de mapas de cuidado: Relatório técnico-científico final

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    Objetivo: analisar o processo de implementação e conformação dos modos de produção do cuidado da política de Rede de Atenção às Urgências e Emergências (RUE), em duas regiões de saúde: Campinas (SP) e Passo Fundo (RS). Procura, ainda, identificar analisadores da produção micropolítica presentes no processo de pactuação e implementação da RUE nessas regiões; analisar as possíveis mudanças no processo de gestão a partir da implementação das RUE; e caracterizar as transformações ocorridas nos modos de produção do cuidado em saúde a partir da implementação das RUE. Metodologia: a pesquisa tem caráter qualitativo, com abordagem micropolítica, e caracteriza-se como estudo de caso e foi desenvolvida através de revisão de literatura, análise de documentos oficiais, coleta de depoimentos de gestores municipais e estaduais, entrevistas narrativas com usuários, e entrevistas em profundidade com gerentes de serviços. No total, foram entrevistados 61 sujeitos. A análise teve como referência a ‘Abordagem do Ciclo de Políticas’. A pesquisa foi desenvolvida por pesquisadores dos programas de Pós-Graduação em Saúde Coletiva da Escola Paulista de Medicina – Universidade Federal de São Paulo (Unifesp-EPM) e da Imed-Faculdade Meridional de Passo Fundo (RS), com apoio de gestores regionais e municipais de saúde e dos Conselhos de Secretários Municipais de Saúde (COSEMS) dos estados de São Paulo e do Rio Grande do Sul. Resultados: Os principais resultados apontam para uma política pública de caráter plural e multifacetado, formulada a partir de diversas influências sociais, econômicas, políticas e teóricas, que expressa como intencionalidade a ampliação do acesso e o cuidado integral em situações de urgência e emergência em saúde. No contexto da prática, apesar da ênfase aos aspectos organizativos e ao financiamento, é observada a política ‘em cena’ onde podem ser identificadas ações de gestão e de produção de cuidado induzidas pela política, mantidas apesar da política e produzidas para além da política da RUE. A relação entre a política oficial e a ação micropolítica dos gestores, tornou-a uma produção singular no campo da governança regional; a necessidade de autonomia dos usuários e a dimensão do cuidado familiar apontam para caminhos na construção da integralidade; há evidências de produções vivas induzidas pela política que qualificam o cuidado, embora iniquidades sejam mantidas ou produzidas; e, a necessidade de articulação entre os componentes em rede, embora evocada, traduz-se em conexões frágeis e não regulares. Considerações Finais: A compreensão dos complexos processos que envolvem as políticas públicas de saúde, os interesses e poderes que as atravessam, tem potencial para fortalecer os atores implicados com a luta pela promoção da equidade em saúde e pela justiça social.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)428431/2018-

    MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

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    Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Mundos em miniatura: aproximação a alguns aspectos da cartografia portuguesa do Brasil (séculos XVI a XVIII)

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    This paper discusses the challenges of "miniaturizing" the world in Portuguese cartography at the dawn of the Modern Age. It draws attention to the process of amassing experience and geographic knowledge, and their deployment in the cartographic representations of Brazil throughout the first three centuries of its colonization
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