Avaliação nutricional e conformidade da rotulagem de “petiscos” consumidos por crianças à legislação brasileira

Label is every and any information regarding to a product that is transcribed in its package. For the consumer it is through the nutritional information tables contained in the labels that there is access to data such as quantity and percentage of nutrients contained in foods. Through this knowledge, it is possible to make healthier food choices, minimizing the negative effects related to poor nutrition in the population, especially among children, the most critical rate of obesity incidence. The aim of this study was to evaluate the appropriateness of the labels of some foods consumed by children in relation to the Recommended Daily Intake (RDI) and verify that the general aspects of the labels were in accordance with Brazilian regulations. Five products were selected like snacks, corn snacks, snacks, peanut, peanuts, potato snacks and biscuit recipes. The labels of different brands of each snack were analyzed using the Checklist of Labelling, which is based on RDC No. 259 and RDC No. 360. The nutritional adequacy of nutrients from these foods (carbohydrates, protein, total fat, saturated fat, trans fat, dietary fiber and sodium) was evaluated in relation to that recommended by the RDA for children 4-8 years old. There was small percentage of mistakes in the labels of the analyzed foods, about 12%, being the presence of words that induce the consumers to the misunderstanding the irregularity with larger predominance, present in 25% of the labels. Other items in disagreement were the incomplete specification of the addictive ones alimentary in the list of ingredients and the absence of instructions about the conservation of the foods after opening the packings, both with percentile of occurrence of 18,75%. The high sodium content found in the nutritional information of food shows that should reduce the consumption of these products among children.

Desenvolvimento inicial da amburana (Amburana cearensis) em áreas de Cerrado degradado

The aim of this study was to determine the effect of nitrogen (N) and the phosphorus (P) in seedlings of Amburana cearensis planted in areas occupied by Brachiaria decumbens, in an Oxisol, which originally had a Dense Savanna and in a Plinthic surrounding a Gallery Forest. We evaluated the response of A. cearensisgrowth and survival in the absence and doses of -1 10, 20 and 40 kg ha N, as urea and absence and doses of 10, 20 and -1 40 kg ha P, in the form of triple superphosphate in a randomized complete block design. We evaluated the stem diameter at four, eight and twelve months after planting. At the end of the first year were evaluated crown diameter and survival. According to the classification proposed in this study the growth of A. cearensis can be considered very slow in the Oxisol, regardless of fertilization, very slow when fertilized with N in the Plinthic and slow when fertilized with P. Despite the lower growth in Oxisol, the A. cearensis showed higher nutritional requirement there. The A. cearensis seedlings showed moderate nutritional requirement for N and high for P. In Plinthic, their nutritional requirement for P was moderate and total N present in the soil was sufficient to meet growth demand in this stage. This small nutritional requirement for N may be associated with its ability to nodulation.

Indicadores de qualidade assistencial e Nursing Activities Score análise correlacional em um Hospital Especializado

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação de hábitos de vida e proposta de fluxograma de encaminhamento de escolares com necessidades de cuidado nutricional

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Avaliação da eficiência nutricional e economica de dietas para papagaios verdadeiros (Amazona aestiva) em cativeiro

Pós-graduação em Ciência e Tecnologia Animal - FEIS

Avaliação do estresse oxidativo, estado nutricional e vitaminas lipossolúveis em crianças atendidas no ambulatório de puericultura. Recife (PE) Brasil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Nível de atividade física, estado nutricional e níveis de BACE 1 e BACE 2 em idosos neurologicamente saudáveis e com doença de Alzheimer

Pós-graduação em Ciências da Motricidade - IBRC

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Modelagem auto-regressiva na previsão de demanda dos produtos de uma empresa do setor químico

Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain