Object-oriented Programming Applied to the Development of Structural Analysis and Optimization Software

This paper presents the development of a two-dimensional interactive software environment for structural analysis and optimization based on object-oriented programming using the C++ language. The main feature of the software is the effective integration of several computational tools into graphical user interfaces implemented in the Windows-98 and Windows-NT operating systems. The interfaces simplify data specification in the simulation and optimization of two-dimensional linear elastic problems. NURBS have been used in the software modules to represent geometric and graphical data. Extensions to the analysis of three-dimensional problems have been implemented and are also discussed in this paper.

ANATI QUANTI: software de análises quantitativas para estudos em anatomia vegetal

Em diversos estudos interdisciplinares em que a Anatomia Vegetal é utilizada, análises quantitativas complementares são necessárias. Geralmente, a avaliação micromorfométrica é feita manualmente e/ou utilizando programas computacionais de análise de imagens não específicos. Este trabalho teve como objetivo desenvolver um programa específico para Anatomia Vegetal quantitativa e testar sua eficiência e aceitação por usuários. A solução foi elaborada na linguagem Java, visando maior mobilidade em relação ao sistema operacional a ser usado. O software desenvolvido foi denominado ANATI QUANTI e testado pelos alunos, pesquisadores e professores do Laboratório de Anatomia Vegetal da Universidade Federal de Viçosa (UFV). Todos os entrevistados receberam fotos para efetuarem medições no ANATI QUANTI e comparar com os resultados obtidos utilizando o software disponível. Os voluntários, através de questionários previamente formulados, destacaram as principais vantagens e desvantagens do programa desenvolvido em relação ao software disponível. Além de ser mais específico, simples e ágil do que o software disponível, o ANATI QUANTI é confiável, atendendo à expectativa dos entrevistados. Entretanto, há necessidade de acrescentar recursos adicionais, como a inserção de novas escalas, o que aumentaria a gama de usuários. O ANATI QUANTI já está em uso nas pesquisas desenvolvidas por usuários na UFV. Por ser um software livre e de código aberto, será disponibilizado na internet gratuitamente.

Prevalence of metabolic syndrome and its association with educational inequalities among Brazilian adults: a population-based study

The present study estimated the prevalence of metabolic syndrome (MS) according to the criteria established by the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII) and the International Diabetes Federation (IDF) and analyzed the contribution of social factors in an adult urban population in the Southeastern region of Brazil. The sample plan was based on multistage probability sampling according to family head income and educational level. A random sample of 1116 subjects aged 30 to 79 years was studied. Participants answered a questionnaire about socio-demographic variables and medical history. Fasting capillary glucose (FCG), total cholesterol, high-density lipoprotein cholesterol (HDL-C), and triglycerides were determined and all non-diabetic subjects were submitted to the 75-g oral glucose tolerance test. Body mass index (BMI, kg/m²), waist circumference and blood pressure (BP) were determined. Age- and gender-adjusted prevalence of MS was 35.9 and 43.2% according to NCEP-ATPIII and IDF criteria, respectively. Substantial agreement was found between NCEP-ATPIII and IDF definitions. Low HDL-C levels and high BP were the most prevalent MS components according to NCEP-ATPIII criteria (76.3 and 59.2%, respectively). Considering the diagnostic criteria adopted, 13.5% of the subjects had diabetes and 9.7% had FCG ≥100 mg/dL. MS prevalence was significantly associated with age, skin color, BMI, and educational level. This cross-sectional population-based study in the Southeastern region of Brazil indicates that MS is highly prevalent and associated with an important social indicator, i.e., educational level. This result suggests that in developing countries health policy planning to reduce the risk of MS, in particular, should consider improvement in education.