898 resultados para Adjustment Inventory


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This study has as main objectives to translate and to adapt the MCMI-III to brazilian Portuguese, as well as investigate and analyze the involved modifications in the Alcohol Dependence Scale concerning to the results obtained on the validity and on the process of adaptation to Brazil. The inventory was translated and, posteriorly, applied on people with different reading levels to certify that the items are understandable to public in general, from diverse places of the country, divided into clinical and non-clinical groups. Were evaluated 2855 subjects between the ages of 18 and 85 years old, male and female, resident and dwellers of Brazilian cities. The application methods were face-to-face and computerized. Results showed that the clinical group presented significant differences between the means in comparison to the non-clinical group. Through the application of the General Health Questionnaire were developed studies related to the achievement of convergent validity and its results pointed to the relation between the instrument scores and the MCMI-III. The Alcohol Dependence Scale analysis indicated that people who reported abusive use of alcohol had highest scores, indicating adequacy of the instrument on identifying manifestation of disorders and syndromes. Nevertheless, further studies are necessary to the establishment of normative patterns to the Brazilian sample

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Realizou-se adaptação cultural do Inventário de Oldenburg para estudantes (OLBI-S) em português e estimou-se sua confiabilidade e validade. O OLBI-S foi preenchido por 958 estudantes universitários brasileiros e 602 portugueses. O modelo fatorial original apresentou ajustamento adequado mas foram removidos dois itens com confiabilidade individual baixa (λ<0,5). A nova estrutura apresentou bom ajustamento a 2/3 da amostra total sendo invariante no 1/3 restante da amostra. Verificou-se baixa consistência interna e validade convergente, confiabilidade compósita aceitável, boa validade discriminante, concorrente e divergente. O OLBI-S não foi invariante nas amostras de Brasil e Portugal. O OLBI-S apresentou limitações e ausência de validade transcultural nas amostras estudadas.

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Realizou-se adaptação cultural do Inventário de Burnout de Copenhagen para estudantes (CBI-S) em português e estimou-se sua confiabilidade e validade. O CBI-S foi preenchido por 958 estudantes universitários brasileiros e 556 portugueses. O modelo fatorial original apresentou bom ajustamento entretanto, foram removidos dois itens com confiabilidade individual baixa (λ<0,5). A nova estrutura apresentou bom ajustamento a 2/3 da amostra total sendo invariante no 1/3 restante da amostra original. Verficou-se adequada consistência interna e validade convergente, discriminante e concorrente. Os pesos fatoriais do CBI-S não foram invariantes nas amostras de Brasil e Portugal. O CBI-S apresentou adequada confiabilidade e validade entretanto, verificou-se ausência de estabilidade transcultural.

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Um dos resíduos gerados no processamento da mandioca (Manihot esculenta) é a manipueira, passível de tratamento por biodigestão anaeróbia. Este trabalho objetivou estudar o processo de partida de um biodigestor tipo plug-flow, tratando manipueira de duas maneiras: diminuindo-se gradativamente o tempo de retenção hidráulica (TRH) até se chegar ao tempo pré-estabelecido, quatro dias; ou mantendo-se o TRH fixo em quatro dias e aumentando-se gradativamente a concentração do afluente. O biodigestor, com capacidade 1980 mL, foi mantido a temperatura de 32ºC ± 1. Empregou-se como substrato manipueira e ajustou-se o pH entre 5,5 e 6,0. A primeira etapa foi caracterizada empregando-se TRH de 16,6; 13,6; 11,6 e 9,6 dias e 3,1; 2,0; 2,3 e 2,9 g DQO L-1 d-1 de carga orgânica, respectivamente. Na segunda etapa manteve-se TRH fixo, 4 dias, porém cargas orgânicas de 0,48, 0,86, 1,65 e 2,46 g DQO L-1 d-1. Determinaram-se no afluente e efluente, sólidos totais (ST) e sólidos voláteis (SV), demanda química de oxigênio (DQO), alcalinidade e acidez volátil. Na primeira etapa, melhores resultados foram observados trabalhando com TRH 9,6 dias e carga orgânica 2,9 g DQO L-1 d-1, quando houve redução de DQO, ST e SV de 60%, 44% e 60%, respectivamente. Na segunda etapa o TRH de 4 dias apresentou melhores resultados empregando-se carga orgânica de 0,86 g DQO L-1 d-1, houve redução de 71%, 58% e 79% de DQO, ST e SV, respectivamente. A partida do biodigestor plug-flow tratando manipueira, pode ser realizada tanto diminuindo-se o TRH, quanto mantendo-o fixo e aumentado-se a concentração do afluente.

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Representative Life-Cycle Inventories (LCIs) are essential for Life-Cycle Assessments (LCAs) quality and readiness. Because energy is such an important element of LCAs, appropriate LCIs on energy are crucial, and due to the prevalence of hydropower on Brazilian electricity mix, the frequently used LCIs are not representative of the Brazilian conditions. The present study developed a LCI of the Itaipu Hydropower Plant, the major hydropower plant in the world, responsible for producing 23.8% of Brazil's electricity consumption. Focused on the capital investments to construct and operate the dam, the LCI was designed to serve as a database for the LCAs of Brazilian hydroelectricity production. The life-cycle boundaries encompass the construction and operation of the dam, as well as the life-cycles of the most important material and energy consumptions (cement, steel, copper, diesel oil, lubricant oil), as well as construction site operation, emissions from reservoir flooding, material and workers transportation, and earthworks. As a result, besides the presented inventory, it was possible to determine the following processes, and respective environmental burdens as the most important life-cycle hotspots: reservoir filling (CO(2) and CH(4) emission: land use); steel life-cycle (water and energy consumption; CO, particulates, SO(x) and NO(x) emissions); cement life-cycle (water and energy consumption; CO(2) and particulate emissions); and operation of civil construction machines (diesel consumption; NO(x) emissions). Compared with another hydropower studies, the LCI showed magnitude adequacy, with better results than small hydropower, which reveals a scale economy for material and energy exchanges in the case of ltaipu Power Plant. (C) 2009 Elsevier Ltd. All rights reserved.

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This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic parameters of the membership function and the weights of the inference rules, are automatically adjusted. This methodology is interesting, not only for the results presented and obtained through computer simulations, but also for its generality concerning to the kind of fuzzy inference system used. Therefore, this methodology is expandable either to the Mandani architecture or also to that suggested by Takagi-Sugeno. The validation of the presented methodology is accomplished through estimation of time series and by a mathematical modeling problem. More specifically, the Mackey-Glass chaotic time series is used for the validation of the proposed methodology. © Springer-Verlag Berlin Heidelberg 2007.

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Includes bibliography

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Includes bibliography

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Includes bibliography

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Background: Neuropsychiatric symptoms (NPS) affect almost all patients with dementia and are a major focus of study and treatment. Accurate assessment of NPS through valid, sensitive and reliable measures is crucial. Although current NPS measures have many strengths, they also have some limitations (e.g. acquisition of data is limited to informants or caregivers as respondents, limited depth of items specific to moderate dementia). Therefore, we developed a revised version of the NPI, known as the NPI-C. The NPI-C includes expanded domains and items, and a clinician-rating methodology. This study evaluated the reliability and convergent validity of the NPI-C at ten international sites (seven languages). Methods: Face validity for 78 new items was obtained through a Delphi panel. A total of 128 dyads (caregivers/patients) from three severity categories of dementia (mild = 58, moderate = 49, severe = 21) were interviewed separately by two trained raters using two rating methods: the original NPI interview and a clinician-rated method. Rater 1 also administered four additional, established measures: the Apathy Evaluation Scale, the Brief Psychiatric Rating Scale, the Cohen-Mansfield Agitation Index, and the Cornell Scale for Depression in Dementia. Intraclass correlations were used to determine inter-rater reliability. Pearson correlations between the four relevant NPI-C domains and their corresponding outside measures were used for convergent validity. Results: Inter-rater reliability was strong for most items. Convergent validity was moderate (apathy and agitation) to strong (hallucinations and delusions; agitation and aberrant vocalization; and depression) for clinician ratings in NPI-C domains. Conclusion: Overall, the NPI-C shows promise as a versatile tool which can accurately measure NPS and which uses a uniform scale system to facilitate data comparisons across studies. Copyright © 2010 International Psychogeriatric Association.

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Includes bibliography

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The objective of this study was to analyze the production process and supply control in order to identify possible gaps and develop a method for managing supplies. The relevance of this research is on the benefits that can obtain by identifying the problems of supply control. The research method used was the case study, which was grounded on tripod semi-structured interviews, on-site observation, and document analysis. This methodology was very suitable because it can be analyzed and cross checked. The possibility of implementation of the proposal obtained from the theoretical framework, that together with the complementary actions suggested here, offers the opportunity to make the process more productive and profitable. This work allowed one to observe the weaknesses in managing the supply chain and at what points to work should be improved. It allowed to use some scientific models in the company object of study in order to improve supply management. © 2011 IEEE.