Competências interpessoais do terapeuta e mudança narrativa do cliente em sessão

Dissertação de mestrado apresentada no ISPA – Instituto Universitário para obtenção do grau de Mestre na especialidade de Psicologia Clínica.Enquadramento: os investigadores são consensuais quanto à contribuição fundamental dos processos narrativos e integração de narrativa e emoção para a mudança em psicoterapia, no entanto, não existe uma revisão sistemática que reúna os estudos que aplicam qualquer um dos três sistemas de codificação destes processos. Objetivo: Realizar uma revisão sistemática dos estudos que usam o Narrative Process Coding System (NPCS; Angus, Hardtke, & Levitt, 1992, 1996) e o Narrative-Emotion Process Coding System (NEPCS 1.0; Boritz, Bryntwick, Angus, Greenberg, & Carpenter, 2012; NEPCS 2.0; Angus Narrative-Emotion Marker Lab., 2015). Método: realizaram-se pesquisas eletrónicas sistemáticas pela fórmula narrative-emotion processes or NEPCS or Narrative-Emotion Process Coding System or narrative-emotion markers or narrative processes or NPCS or Narrative Process Coding System (texto completo) e Angus, Lynne (autor) nas bases de dados eletrónicas Book Colletion, PsycINFO, PsycARTICLES, PsycBOOKS, PEP Archive, Psychology and Behavioral Sciences Colletion, Academic Search Complete e na Web of Knowledge. Foram adicionados manualmente estudos selecionados através das referências bibliográficas. Resultados: foram selecionados 20 estudos empíricos que utilizaram qualquer um dos três sistemas de codificação. Conclusões: os sistemas de codificação dos processos narrativos e processos de narrativa-emocional (NE-P) foram aplicados a diferentes modalidades terapêuticas (EFTT, CBT, EFT, CCT, PPT, PT, ST, CT, IT) e em diferentes patologias (depressão, PTSD, stress e GAD), confirmando a importância da identificação de diferentes processos que contribuem para a mudança psicoterapêutica e encorajando a aplicação e o suporte destes instrumentos nas investigações de processo-resultado em psicoterapia.ABSTRACT: Background: Researchers are consensual about the fundamental contribution of narrative processes and integration of narrative and emotion for the promotion of change in psychotherapy, but there is no systematic review that brings together the studies that applied any of the three coding systems of these processes. Objective: Review the studies that used the Narrative Process Coding System (NPCS; Angus, Hardtke, & Levitt, 1992, 1996) and the Narrative-Emotion Process Coding System (NEPCS 1.0; Boritz, Bryntwick, Angus, Greenberg, & Carpenter, 2012; NEPCS 2.0; Angus Narrative-Emotion Marker Lab., 2015). Method: Systematic electronic searches have been conducted by the formula narrative-emotion processes or NEPCS or Narrative-Emotion Process Coding System or narrative-emotion markers or narrative processes or NPCS or Narrative Process Coding System (full text) and Angus, Lynne (author) in the electronic databases Book Collection, PsycINFO, PsycARTICLES, PsycBOOKS, PEP Archive, Psychology and Behavioral Sciences Collection, Academic Search Complete and the Web of Knowledge. Manuscripts selected through bibliography were added manually. Results: We found 20 empirical studies that used any of the three coding systems. Conclusions: The systems of codification of narrative and emotional narrative processes (NE-P) were applied to different therapeutic modalities (EFTT, CBT, EFT, CCT, PPT, PT, ST, CT and IT) and in different pathologies (depression, PTSD, stress and GAD), confirming the importance of identifying different processes that contribute to psychotherapeutic change and encouraging the application and support of these instruments in process-outcome investigations in psychotherapy

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

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

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

Notícias de uma guerra: estratégias, ameaças e orações

Neste artigo pretendo abordar algumas questões observadas durante as eleições municipais de 2004 na Baixada Fluminense, fundamentalmente em Nova Iguaçu, focalizando como a religião, em um momento específico, foi apropriada pelo discurso político objetivando sua potencialidade eleitoral. Assim, descreverei alguns conflitos (políticos) em torno de algumas personalidades da/na Baixada e em que medida o auxílio à temática religiosa, fundamentalmente a evangélica, foi importante para reconfigurar o campo político na região durante o segundo turno das eleições municipais.<br>In this article I propose analyze some questions observed in Baixada Fluminense's 2004 election, basically in Nova Iguaçu, giving emphasis on the religion dimension and how it was appropriated by a political discourse with electoral purposes. Then, I will describe some conflicts (political conflicts) about some Baixada's politicians and how the religion was important to reconfigure the political camp during the election