923 resultados para conforming bid (tender)
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Buffalo meat production has been arising interest breeder and emerges as alternative to consumer, more and more demanding of the quality products. Thus, this research was conducted to study the chemical composition and tenderness of Longissimus dorsi muscle from 10 non-castrated Murrah buffaloes slaughtered at different weights. The research was carried in feedlot of School of Veterinary Medicine and Animal Science of the São Paulo State University, Botucatu, São Paulo, Brazil. Animals were divided in two groups, received diet ad libitum and slaughtered when reached 450 and 500 kg of live weight. The experiment design was completely randomized, with five repetitions to each treatment. Meat sample from Longissimus dorsi muscle, taken between 12(th) and 13(th) ribs, were carried analysis of moisture, crude protein, fat, ash, Longissimus muscle area (LMA), fat thickness (FT), marbling, calorie and tenderness. It did not have significant difference between the groups. Average values at of 76.0; 20.7; 2.1 and 1.2 of moisture, crude protein, fat and ash respectively, were obtained. Calorie, tenderness, LMA, FT and marbling were obtained at average values of 132 kca1/100g; 3.94 kgf; 34.2 cm(2); 5.9 mm and 2 points, respectively. Values obtained for tenderness are similar in the literature and has been proving that buffalo meat is tender (< 5kgf). Positive correlation was observed between the protein percentage and the shear force of the meat. The buffalo meat is excellent alternative source of red protein of high biological value to feeding of Brazilian consumers.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects measurements that actually do not present bad data and also the conventional bad data identification strategies based on the normalized residual methods. ©2005 IEEE.
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In this article, we consider the synthetic control chart with two-stage sampling (SyTS chart) to control bivariate processes. During the first stage, one item of the sample is inspected and two correlated quality characteristics (x;y) are measured. If the Hotelling statistic T1 2 for these individual observations of (x;y) is lower than a specified value UCL 1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2 2 for the sample means of (x;y) is computed. When the statistic T2 2 is larger than a specified value UCL2, the sample is classified as nonconforming. According to the synthetic control chart procedure, the signal is based on the number of conforming samples between two neighbor nonconforming samples. The proposed chart detects process disturbances faster than the bivariate charts with variable sample size and it is from the practical viewpoint more convenient to administer.
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Foreword of Enrique V. Iglesias and Gert Rosenthal
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