Towards Causal Effect Estimation of Emotional Labeling of Watched Videos

Emotions play a crucial role in human life, they are measured using many approaches. There are also many methodologies for emotion elicitation. Emotion elicitation through video watching is one important approach used to create emotion datasets. However, the causation link between video content and elicited emotions was not well explained by scientific research. In this article, we present an approach for computing the causal effect of video content on elicited emotion. The Do-Calculus theory was employed for computing causal inference, and a SCM (Structured Causal Model) was proposed considering the following variables: EEG signal, age, gender, video content, like/dislike, and emotional quadrant. To evaluate the approach, EEG data were collected from volunteers watching a sample of videos from the LIRIS-ACCEDE dataset. A total of 48 causal effects was statistically evaluated in order to check the causal impact of age, gender, and video content on liking and emotion. The results show that the approach can be generalized for any dataset that contains the variables of the proposed SCM. Furthermore, the proposed approach can be applied to any other similar dataset if an appropriate SCM is provided

Educação socioambiental e o direito à cidade: : Reflexões sobre um programa de extensão universitária durante a pandemia da covid-19 no interior do Ceará

O agravamento das desigualdades sociais gerado pela pandemia da Covid-19 fez com que os territórios urbano-periféricos enfrentassem drásticos empecilhos para o pleno acesso à educação e ao direito à cidade. Desse modo, este artigo objetiva relatar e discutir as ações de extensão universitária relacionadas ao direito à cidade promovidas pelo Laboratório de Estudos Urbanos, Sustentabilidade e Políticas Públicas (Laurbs) durante o ano de 2020. Para tal, adotou-se uma pesquisa-ação como estratégia metodológica. A coleta dos dados se deu mediante análises documentais nos relatórios parciais e finais das atividades de extensão, tal qual nos documentos de planejamento e planilhas para o acompanhamento das atividades. Guardadas as devidas proporções das ações relatadas, depreendeu-se que as iniciativas experienciaram dificuldades como o acesso a aparelhos tecnológicos e à internet por parte do público-alvo. Portanto, as percepções apontam para uma complexificação ainda maior da relação extensão universitária-comunidade em termos de alcance e diálogo, tal e qual os empecilhos enfrentados por indivíduos majoritariamente subalternizados na realidade social brasileira, questões essas agudizadas pela pandemia da Covid-19. Em contrapartida, as adaptações das ações extensionistas foram salutares para a continuação das atividades. As práticas foram proveitosas, logrando experiências e ferramentas para futuras intervenções diante do contexto hodierno

Simulação em saúde como ferramenta educativa no cuidado de enfermagem pediátrica: uma revisão integrativa da literatura

Objective: to analyze the evidence available in the literature on the use of health simulation as an educational tool in pediatric nursing care. Method: integrative review carried out with Health Sciences Descriptors (simulation, simulation training and pediatric nursing), in the SCOPUS, MEDLINE/PubMed, Web of Science, EMBASE and CINAHL databases. A total of 2070 studies were found, 39 full texts were evaluated, in which 30 articles made up the final analysis corpus. Results: most studies are international, current and developed with undergraduate nursing students. The simulation was used as an educational tool for graduation training, qualification/training, especially for nurses, and in the health education of family caregivers. Its use provided improvements in management, self-confidence, skills, efficient communication and construction of knowledge on the subject. Conclusion: the simulation was configured as an educational tool with the potential to improve pediatric care. Objetivo: analisar as evidências disponíveis na literatura sobre o uso da simulação em saúde como ferramenta educativa no cuidado de enfermagem pediátrica. Método: revisão integrativa realizada com Descritores em Ciências da Saúde (simulação, treinamento por simulação e enfermagem pediátrica), nas bases de dados SCOPUS, MEDLINE/PubMed, Web of Science, EMBASE e CINAHL. Foram encontrados 2070 estudos, avaliados 39 textos completos, em que 30 artigos compuseram o corpus de análise final. Resultados: a maioria dos estudos são internacionais, atuais e desenvolvidos com estudantes de graduação enfermagem. A simulação foi utilizada como ferramenta educacional para a formação na graduação, capacitação/treinamento sobretudo de enfermeiros e na educação em saúde de cuidadores familiares. Seu uso propiciou melhorias em gerenciamento, autoconfiança, habilidades, comunicação eficiente e construção do conhecimento acerca da temática. Conclusão: a simulação se configurou como uma ferramenta educacional com potencial para o aprimoramento do cuidado em pediatria

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

Towards Causal Effect Estimation of Emotional Labeling of Watched Videos

Emotions play a crucial role in human life, they are measured using many approaches. There are also many methodologies for emotion elicitation. Emotion elicitation through video watching is one important approach used to create emotion datasets. However, the causation link between video content and elicited emotions was not well explained by scientific research. In this article, we present an approach for computing the causal effect of video content on elicited emotion. The Do-Calculus theory was employed for computing causal inference, and a SCM (Structured Causal Model) was proposed considering the following variables: EEG signal, age, gender, video content, like/dislike, and emotional quadrant. To evaluate the approach, EEG data were collected from volunteers watching a sample of videos from the LIRIS-ACCEDE dataset. A total of 48 causal effects was statistically evaluated in order to check the causal impact of age, gender, and video content on liking and emotion. The results show that the approach can be generalized for any dataset that contains the variables of the proposed SCM. Furthermore, the proposed approach can be applied to any other similar dataset if an appropriate SCM is provided