4 resultados para DIPHENYL- AND TRIMETHYLLEAD(IV)


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Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).

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Presented thesis at Faculdade de Ciências e Tecnologias, Universidade de Lisboa, to obtain the Master Degree in Conservation and Restoration of Textiles

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RESUMO: INTRODUÇÃO: O rápido envelhecimento populacional, o aumento da prevalência de transtornos neuropsiquiátricos, o aumento das taxas de morbilidade clínica e incapacidade entre idosos de países em desenvolvimento têm trazido preocupações sobre a saúde mental e sobrecarga de cuidadores informais. Está bem estabelecida a elevada prevalência de transtornos mentais comuns (TMC) associada à adversidade socioeconômica, baixo nível educacional, estresse e gênero. Idosos e cuidadores vivendo em comunidade compartilham fatores de risco para morbilidade física e psiquiátrica. Adicionalmente, os cuidadores tem uma tripla carga, sendo simultaneamente familiares, trabalhadores leigos em saúde sem suporte dos serviços de saúde e assistência social e um paciente com necessidades não atendidas. O cuidador informal é o principal provedor de cuidado em todos os países. OBJETIVOS: Acessar perfil sociodemográfico, níveis de transtorno mental comum (TMC) e sobrecarga em cuidadores, características do cuidado e prevalência de demência e depressão no idosos, numa área carente da região oeste de São Paulo –Brasil. MÉTODO: Esta pesquisa transversal deriva do São Paulo Ageing and Health Study (SPAH) que incluiu idosos com 65 anos ou mais e seus respectivos cuidadores. Os participantes foram identificados por arrolamento domiciliar e entrevistadas em suas casas com protocolo padronizado de pesquisa. O instrumento utilizado para acessar os transtornos mentais comuns, foi o Self Rating Questionnaire SRQ-20.A sobrecarga foi quantificada pelo Zarit Caregiver Burden Scale. Diagnósticos psicogeriátricos foram mensurados através do SRQ-20 e critérios do CID-10 e do DSM-IV. 8 RESULTADOS: 588 cuidadores e respectivos idosos foram incluídos. Nos idosos, a prevalência de demência foi 15,9%, de depressão pelo CiD-10 9.9% e de TMC 39,25% Nos cuidadores, a prevalência de TMC foi de 55,1% e 32,8% dos cuidadores apresentaram sobrecarga elevada. O perfil do cuidador foi filha,com idade em torno dos 49 anos, casada e com baixo nível educacional.------------------ABSTRACT: BACKGROUND: With the fast population aging, growing prevalence of neuropsychiatric disorders, clinical morbidity and disability among the elderly particularly in low income countries (LAMIC), has brought concerns about informal caregiver Mental Health and Burden. It is well established the high prevalence of Common Mental Disorders (CMD) associated to socioeconomic adversity, low educational attainment, stress and gender. Community-dwelling elders and caregivers share risk factors for physical and psychiatric morbidity. In addition, caregivers have a triple strain, being simultaneously, family members, lay health workers with lack of support from health and social work services and a hidden patient with unmet needs. The world main source of caregiving relies on informal caregiver. AIMS: To assess 1) the sociodemographic profile, levels of CMD and burden among caregivers, and 2) the characteristics of care and prevalence of dementia and depression in elderly in a socioeconomic underprivileged area in western region of Sao Paulo – Brazil. METHOD: The present investigation is a cross-sectional part of Sao Paulo Ageing and Health Study (SPAH) which included participants aged 65 or older and their respective caregivers. Participants were identified by household enrollment and interviewed in their homes using a standardized research protocol. The assessment of common mental disorders was performed with the Self Rating Questionnaire – 20 (SRQ-20), used to establish psychiatric caseness. The assessment of burden was performed with Zarit Caregiver Burden Scale. Dementia and psychogeriatric diagnosis were reached through ICD-10, SRQ-20 and DSM-IV criteria. 10 RESULTS: 588 caregivers and respective elderly relatives were included. Prevalence of dementia was 15.9%, ICD-10 depression 9.9% and CMD 39.3% among the elderlys. Common mental disorder prevalence in caregivers was 55.1% and high burden was reached in 32.8% of the caregiver sample. Most of the caregivers were married and co-resident daughters with a mean age of 49 years (CI 95% - 48.7 to 51).

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Double Degree. A Work Project, presented as part of the requirements for the Award of a Master’s Degree in Management from NOVA – School of Business and Economics and a Masters Degree in Economics from Louvain School of Management