Avaliação da eficácia da realidade virtual na exposição gradual no tratamento de fobias específicas: análise de revisão sistemática

A eficácia da realidade virtual na exposição gradual no tratamento de fobias específicas representa um avanço significativo na abordagem terapêutica desses transtornos. A combinação da realidade virtual com abordagens terapêuticas tradicionais oferece uma alternativa inovadora, superando limitações do tratamento convencional e proporcionando resultados promissores na melhoria da qualidade de vida dos indivíduos que sofrem de fobias. Trata-se de um estudo cujo objetivo foi avaliar a eficácia da realidade virtual na exposição gradual no tratamento de fobias específicas. Para isso, foi realizada uma revisão sistemática de literatura, utilizando as bases de dados Scielo, Lilacs e Medline. A partir da análise de dados, concluiu-se que a aplicação da realidade virtual na exposição gradual apresenta eficácia no tratamento de fobias específicas. A utilização dessa abordagem terapêutica demonstrou impacto positivo na redução de sintomas fóbicos, na modificação de cognições distorcidas associadas ao medo e no fortalecimento do senso de autoeficácia dos participantes. A imersão virtual proporcionou um ambiente controlado para que os indivíduos pudessem enfrentar gradualmente suas fobias, resultando em melhorias notáveis. No entanto, é importante considerar as limitações do estudo, como o tamanho da amostra, a ausência de um grupo controle e a falta de uma reavaliação a longo prazo, ressaltando a necessidade de pesquisas adicionais para validar e aprimorar as abordagens terapêuticas baseadas em realidade virtual

Pervasive gaps in Amazonian ecological research

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

Educomunicação em Tempos de Pandemia:

Os textos que compõem esta obra são oriundos do VIII Colóquio Ibero-americano de Educomunicação (VIII CIEducom) e IX Colóquio Catarinense de Educomunicação (IX CCEducom), realizados em março de 2021. Em um ano no qual o vírus SARS-CoV-2 e variantes circularam por diversos territórios, Educomunicação em tempos de pandemia: práticas e desafios foi o tema discutido nos eventos. Este livro colocado à disposição do público é um modo de compartilhar caminhos e convidar pessoas curiosas a percorrerem, por meio das palavras e recursos gráficos, desafios identificados e estratégias para o enfrentamento deste inesperado período de pandemia

Pervasive gaps in Amazonian ecological research

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

Desempenho e rendimento da carcaça de frangos de corte submetidos a dietas com diferentes níveis de energia e aminoácidos

Submitted by Anna Dias ([email protected]) on 2020-01-10T20:01:23Z No. of bitstreams: 1 LAÍS MARIA DE BRITO LIMA PENHA.pdf: 331846 bytes, checksum: c4cb17fb2856afc4574c070835919707 (MD5)Approved for entry into archive by Camila Silva ([email protected]) on 2020-01-16T16:57:46Z (GMT) No. of bitstreams: 1 LAÍS MARIA DE BRITO LIMA PENHA.pdf: 331846 bytes, checksum: c4cb17fb2856afc4574c070835919707 (MD5)Made available in DSpace on 2020-01-20T12:07:01Z (GMT). No. of bitstreams: 1 LAÍS MARIA DE BRITO LIMA PENHA.pdf: 331846 bytes, checksum: c4cb17fb2856afc4574c070835919707 (MD5) Previous issue date: 2006Avaliaram-se desempenho, rendimentos de carcaça seus cortes e quantidade de gordura abdominal dos frangos, alimentados com rações com diferentes níveis de energia e aminoácidos, respeitando o conceito de proteína ideal. Utilizaram-se pintos de corte Ross 308, machos e fêmeas, alimentados com 3 tipos de rações: inicial (1-21dias), crescimento (22-40 dias) e acabamento (41-45 dias). O período experimental foi de 45 dias. Foram utilizados 3 níveis de energia metabolizável (EM): baixo, médio e alto sendo: inicial 2900; 3000 e 3100 Kcal/Kg, crescimento 3000; 3100 e 3200 Kcal/Kg e acabamento de 3100; 3200 e 3300 Kcal/Kg, respectivamente. Foram dois os níveis de aminoácidos: normais (usados UFMG) e com 10 % acima destes. O delineamento foi inteiramente ao acaso. Os sexos foram analisados separadamente. As diferenças entre as médias foram comparadas pelo teste “SNK”. O pior ganho de peso e consumo dos machos de 1-45 dias ocorreu com a energia baixa (P<0,05) e não houve influência dos níveis de aminoácidos. Para fêmeas a energia e o nível de aminoácidos mais altos promoveram maior ganho de peso quando comparada com os outros níveis, mas sem interação. Independente do teor de aminoácidos das dietas, machos alimentados com alta energia tiveram o pior rendimento de carcaça, já nas fêmeas foi observada interação. O rendimento de peito dos machos apresentou resposta significativa ao aumento de aminoácidos, independente dos níveis energéticos. Enquanto para as fêmeas, houve interação. Os demais parâmetros não foram afetados pelos tratamentos.The objective of this paper was to evaluate performance, carcass and parts yields and male and female broilers abdominal fat fed with different energy and amino-acids (aa) diet, respecting ideal protein concept. There were used Ross 308 broiler chick, male and female, fed with 3 diets formulated for starter (1-21 days), grower (22-40 days), and finisher (41-45 days). Experimental period was 1-45days. 3 Metabolized energy (ME) were used: low, medium and high: starter (2900; 3000 and 3100 Kcal/Kg), grower (3000; 3100 and 3200 Kcal/Kg) and finisher (3100; 3200 and 3300 Kcal/Kg), respectively. Two amino acids levels were used: normal (UFMG usage) and a higher with 10% over this. The design was completely randomized. Both sexes were analyzed separated. The differences among medias were analyzed with “SNK” test. The worst gain and consumption for 1-45days males was observed with low energy diets (P<0,05) and the amino acids levels made no influence. In females the gain weight was influenced by the higher energy and amino acids levels and was better when compared with others levels, but, without interactions. Without relationships with amino acids levels, males fed with higher energy levels shown worse carcass yields, and in females there were observed interaction. In males breast yield shown significative differences while increasing amino acids levels, without relationship with energy levels. For female there were interactions. Other parameters showed no significative differences

NURSING CARE FOR PATIENTS UNDERGOING PALLIATIVE CARE IN THE CONTEXT OF DIGITAL HEALTH

The aim is to identify the evidence available in the literature on nursing care for patients undergoing PC in the context of digital health. The methodology proposed is an Integrative Literature Review, based on the following steps: defining the review question, determining the search strategy, critical evaluation of the research results, summarizing the research results, data extraction and reduction, analysis, conclusions and implications. The guiding question adopted the PICo strategy, being: (P) population - “patients undergoing palliative care”, (I) interest – “nursing care”, (Co) context - “digital health”, generating: “What evidence is available in the literature about nursing care for patients undergoing PC in the context of digital health?”. The sources of information will be studies indexed in the databases: National Library of Medicine National Institutes of Health (PUBMED), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Latin American Caribbean Literature in Health Sciences (LILACS), EMBASE and Web of Science (WOS)