15 research outputs found

    As realizações morfossintáticas do perfect universal no português do Brasil

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    O aspecto perfect, associado ao tempo presente, refere-se àquelas situações que ocorreram ou começaram no passado e que possuem efeitos no presente. Esse aspecto pode ser dividido em perfect universal e perfect existencial. Quando relacionado ao tempo presente, o primeiro, objeto de estudo deste trabalho, refere-se às situações que se iniciaram no passado e persistem até o presente. O objetivo deste trabalho consiste em contribuir para a descrição das realizações de perfect nas línguas e, especificamente, buscamos investigar as formas verbais e as expressões adverbiais que veiculam perfect universal associado ao tempo presente no português do Brasil. Utilizamos como metodologia análise de dados de fala espontânea, de dados escritos extraídos de blogs e de dados obtidos mediante aplicação de teste offline de preenchimento de lacuna. A hipótese é de que o perfect universal é realizado através do passado composto, de auxiliar + gerúndio e do presente do indicativo no português do Brasil. Através dos resultados, encontramos as três morfologias citadas expressando o universal; logo, a hipótese não foi refutada. Encontramos ainda algumas expressões adverbiais nas sentenças investigadas, como “até hoje”, “sempre”, “há x anos”. Discute-se a relevância de uma análise morfossintática do perfect universal, tendo em vista a importância da combinação das expressões adverbiais às formas verbais para expressar esse aspecto

    ANÁLISE LINGUÍSTICA/SEMIÓTICA EM LIVROS DIDÁTICOS E SUA RELAÇÃO COM A BNCC

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    RESUMONeste artigo, buscamos investigar de que forma a análise linguística/semiótica apresenta-se nos livros didáticos de Português e se estas estão associadas aos pressupostos da Base Nacional Comum Curricular (BRASIL, 2018). Essas diretrizes, que se baseiam em uma abordagem textual-discursiva, apresentam relevância no âmbito escolar, já que apresentam competências e habilidades que norteiam o Ensino Básico. Dessa forma, baseamo-nos em alguns pressupostos teóricos sobre a abordagem textual-discursiva e sobre a Linguística de Texto, como os apresentados por Geraldi (1984; 2015); Marcuschi (2008); Koch (2002); Koch e Elias, (2016); Bezerra e Reinaldo (2020) e Santos (2021). A partir da análise, concluímos que os livros didáticos analisados apresentam atividades de análise linguística relacionadas somente à classificação gramatical, sem associar aos gêneros textuais e ao contexto de uso

    Green façades and in situ measurements of outdoor building thermal behaviour

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    Using green façades in large cities with hot climates has been introduced in the search for more sustainable solutions for urban development. This paper presents the data collected in situ and quantifies the thermal external behaviour of a green wall and a bare one in the same surrounding environment in the city centre of Madrid, Spain. The methodological approach helps to assess the impacts of both walls on the variation of the urban temperature range at the microclimate scale in accordance with environmental physical data at different seasons and times of the day. In the summer campaign, the maximum values of air temperature reduction as measured in situ range between 2.5 °C and 2.9 °C which confirmed the values of various other studies using similar measurements. In the autumn campaign, the maximum values were half of the ones obtained for the summer, not exceeding 1.5 °C. However, these values increased after calculating similar conditions of sunlight in both façades. This comparative analysis of the experimental results on a green wall and a bare wall demonstrates that green façades can have a significant temperature reduction potential in the surrounding microclimate.The authors are grateful to the European Union Erasmusþ Program for funding the Portuguese researchers' trips and visits to Madrid

    The perfect aspect in brazilian portuguese

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    The perfect aspect, in the present, refers to situations that happened or started in the past and have an effect in the present moment. This aspect is divided into two types: universal perfect, that one by which the described situation persists until the present, and existential perfect, that one by which the described situation has relevance in the present. The aim of this article is to describe the realizations of the two types of the perfect aspect in Brazilian Portuguese, analyzing the verbal forms and adverbs used to express them. As our methodology, we analyzed spontaneous speech data, written data extracted from blogs, and data obtained by the application of a cloze test. We verified that the universal perfect is expressed by the present tense, by periphrases formed by auxiliary verbs + gerund, and by the present perfect, and these verbal forms could be combined to adverbials such as “since”, “until today”, “always” and “for x years”. The existential perfect is expressed by the past tense, and this verbal form could be combined to adverbials such as “already”, “recently”, “now” and “still”. We concluded that the proposal which divides the perfect aspect into two types seems adequate for Brazilian Portuguese.O aspecto perfect, quando associado ao presente, refere-se às situações que ocorreram ou começaram no passado e possuem efeitos no presente. Esse aspecto divide-se em dois tipos: perfect universal, aquele pelo qual a situação descrita persiste até o presente, e perfect existencial, aquele pelo qual a situação descrita possui relevância no presente. O objetivo deste artigo é descrever as realizações dos dois tipos de aspecto perfect no português do Brasil, analisando as formas verbais e os advérbios que os veiculam. Utilizamos como metodologia análise de dados de fala espontânea, de dados escritos extraídos de blogs e de dados obtidos mediante aplicação de teste de preenchimento de lacuna. Verificamos que o perfect universal é expresso através do presente do indicativo, das perífrases formadas por auxiliar + gerúndio e do passado composto, podendo essas formas verbais estar combinadas a expressões adverbiais tais como: “desde”, “até hoje”, “sempre” e “há x anos”. O perfect existencial é expresso através do pretérito perfeito, podendo essa forma verbal estar combinada a expressões adverbiais tais como: “já”, “recentemente”, “agora” e “ainda”. Portanto, chegamos à conclusão de que a proposta de divisão do aspecto perfect em dois tipos parece adequada ao português do Brasil

    MANEJO DE CRISES DE ANSIEDADE E PÂNICO EM CRIANÇAS E ADOLESCENTES: CONDIÇÕES MULTIFATORIAIS

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    The objective of this article is to explore the nuances and strategies in managing anxiety and panic attacks in children and adolescents, recognizing the multifactorial conditions involved. It seeks to offer insights and practical guidance for healthcare professionals, parents and educators in addressing these complexities in the pediatric context. Methodology: Several academic platforms were explored, such as PubMed, Scopus, Web of Science and Scielo, during the research. The key terms "anxiety crisis", "panic syndrome", "children" and "adolescents" were used. The PICO (Population; Intervention; Comparison; Outcome) approach was used to improve the search, delimiting the target population, the interventions studied, comparisons when relevant and the outcomes of interest. Results: The study highlights the need for personalized approaches in the management of anxiety and panic attacks in children and adolescents, considering the diversity of factors involved. Interventions adapted to individual peculiarities and an in-depth understanding of multifactorial conditions are essential to promote a positive impact on the emotional well-being of these young people. Conclusion: A sensitive and ethical approach to the diagnosis and treatment of panic syndrome in children and adolescents, considering cultural factors, is essential to promote effective and patient-centered interventions, ensuring well-being and respecting individual complexities.O objetivo deste artigo é explorar as nuances e estratégias no manejo de crises de ansiedade e pânico em crianças e adolescentes, reconhecendo as condições multifatoriais envolvidas. Busca-se oferecer insights e orientações práticas para profissionais de saúde, pais e educadores na abordagem dessas complexidades no contexto pediátrico. Metodologia:  Foram exploradas várias plataformas acadêmicas, como PubMed, Scopus, Web of Science e Scielo, durante a pesquisa. Os termos-chave "crise de ansiedade", "síndrome do pânico", "crianças" e "adolescentes" foram utilizados. A abordagem PICO (População; Intervenção; Comparação; Outcome) foi empregada para aprimorar a busca, delimitando a população-alvo, as intervenções estudadas, comparações quando relevantes e os desfechos de interesse. Resultados: O estudo destaca a necessidade de abordagens personalizadas no manejo de crises de ansiedade e pânico em crianças e adolescentes, considerando a diversidade de fatores envolvidos. Intervenções adaptadas às peculiaridades individuais e uma compreensão aprofundada das condições multifatoriais são fundamentais para promover um impacto positivo no bem-estar emocional desses jovens. Conclusão: A abordagem sensível e ética no diagnóstico e tratamento da síndrome do pânico em crianças e adolescentes, considerando fatores culturais, é essencial para promover intervenções eficazes e centradas no paciente, garantindo o bem-estar e respeitando as complexidades individuais

    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

    Pervasive gaps in Amazonian ecological research

    Get PDF

    Pervasive gaps in Amazonian ecological research

    Get PDF
    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

    Pervasive gaps in Amazonian ecological research

    Get PDF
    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost
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