Análise da prontidão para o tratamento em alcoolistas em um centro de tratamento

The aim of this research was to verify the readiness for the treatment in alcoholics who were taking part of a therapeutical intervention, following the Minnesota Model. A sample of 25 moderate and severe level alcoholists took part on this research. They ranged from 23 to 60 years of age, both male and female. The scale SADD and SOCRATES were applied during the first interview, in the beginning of the treatment. Three additional interviews were performed in the middle, at the end and one month after the treatment, to appraise the readiness for the treatment through SOCRATES scale. The results showed that, although there had been 64% of adhesion to treatment, there was not reduction of ambivalence of the alcoholics. There has been significant correlation between the SOCRATES scale factors. This research points to the need of using motivating techniques to reduce the ambivalence, in order to increase the adhesion and to prevent relapse.O objetivo desta pesquisa foi verificar a prontidão para o tratamento em alcoolistas participantes de uma intervenção terapêutica, seguindo o Modelo Minnesota. Participaram desta pesquisa 25 alcoolistas, de grau moderado e grave, com idade entre 23 a 60 anos, de ambos os sexos. Foram aplicadas as escalas SADD e SOCRATES na primeira entrevista, no início do tratamento. Três entrevistas adicionais realizadas no meio, no final e um mês após o tratamento, avaliaram a prontidão para o tratamento por meio da escala SOCRATES. Os resultados mostraram que, embora tenha havido 64% de adesão, não houve diminuição da ambivalência dos alcoolistas. Houve correlação significativa entre os fatores da escala SOCRATES. Esta pesquisa aponta para a necessidade de se utilizar técnicas motivacionais para a diminuição da ambivalência, visando o aumento na adesão e prevenção de recaída

Pure cerium dioxide preparation for use as spectrochemical standard and analysed by inductively coupled plasma mass spectrometry (SF ICP-MS)

Ao longo dos anos, o Instituto de Pesquisas Energéticas e Nucleares (IPEN/CNEN-SP) tem realizado diversas pesquisas na produção de Terras Raras (RE) de alta pureza. A metodologia apresentada neste trabalho refere-se à produção econômica e de baixo custo de óxido de cério. O cério produzido pode ser utilizado como um padrão espectroquímico. A obtenção desse padrão está associada à precipitação fracionada pelo sistema RECl3/NH4OH/Ar/H2O2, para enriquecer o óxido de cério de 90% a 99,99% em CeO2. O controle de qualidade do padrão produzido é feito através da técnica da espectrometria de massas com fonte de plasma (ICP-MS) e confirmado pela técnica da ativação de nêutrons. Os valores das impurezas de Terras Raras no óxido, em ppm são: La(36), Pr(19), Nd(161), Sm(11), Eu(5,3), Gd(113), Tb(89), Dy(2), Ho(0,05), Er(1), Tm(<0,05), Yb(11), Lu(19) e Y(2,1), respectivamente. Os valores encontrados das impurezas são comparados aos padrões internacionais e confirmam o alto nível de pureza do óxido de cério produzido no IPEN.For several years, IPEN/CNEN-SP has been working in the separation of the Rare Earth (RE) elements. A simple and economic procedure for the purification of technical grade cerium concentrate is described. The highly pure cerium dioxide is designed to be used as spectrochemical standard. It is obtained by association of the fractional precipitation technique, in the system RECl3/NH4OH/ Air/H2O2, to enrich the cerium up to 90% and then it is upgraded by ion exchange technique to 99.99% CeO2. The quality control warranty was accomplished by inductively coupled mass spectrometry (ICP-MS) and neutron activation analysis. The collected values for the accompanying Rare Earth elements in a CeO2 sample are the following (ppm): La(36), Pr(19), Nd(161), Sm(11), Eu(5.3), Gd(113), Tb(89), Dy(2), Ho(0.05), Er(1), Tm(<0.05), Yb(11), Lu(19) and Y(2.1), respectively. The purity of this cerium oxide is comparable to the international spectrographic standards

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