Aritmética Modular

A videoaula traz o conceito de aritmética modular, como sendo o estudo das operações básicas sobre um contexto diferente, que é o sistema dos números inteiros módulo n. As operações básicas são: adição mod n, subtração mod n, multiplicação mod n, e divisão mod n. O material destaca ainda a adição e multiplicação modulares, a subtração e a divisão modular, o inverso modular e seus elementos e, por fim, o cálculo de equações.

Optimization of osmotic dehydration of papaya followed by air-drying

FERNANDES, Fabiano A. N. et al. Optimization of Osmotic Dehydration of Papaya of followed by air-drying. Food Research Internation, v. 39, p. 492-498, 2006.

Polimorfismos de nucleotídeo único (SNPS) dos genes PPARy2, lipase lipoproteica, receptor de LDL, apolipoproteina C3, e adiponectina podem modular o perfil lipídico de pacientes com a síndrome de Berardinelli-Seip

A Síndrome de Berardinelli-Seip (SBS) é um distúrbio raro do metabolismo dos lipídios, caracterizada pela ausência quase total de tecido adiposo subcutâneo, hipertrigliceridemia, hipoleptinemia e diabetes insulino resistente ou lipoatrófico. Sua etiologia envolve implicações hipotalâmicas, alterações nos receptores de insulina e mutações nos genes AGPAT2, Gng3lg, CAV1 e PTRF. O tecido adiposo secreta diversas substâncias, tais como: leptina, resistina, adiponectina, esteróides, TNF , IL-6, PAI-1, angiotensinogênio, IGF-1. Muitas delas estão associadas ao diabetes mellitus tipo 2, obesidade e hipertensão. Os PPARs são fatores transcricionais pertencentes à superfamília de receptores nucleares ligantes ativados. Sabe-se que o PPAR , é importante para o metabolismo lipídico e glicídico e que o ligante natural do PPAR é derivado do ácido graxo. Nesse sentido, foram avaliados 24 pacientes portadores da SBS, provenientes do Estado do Rio Grande do Norte, com a mediana das idades de 18,5 anos (0,55 a 47 a), sendo 9 (37,5 %) do gênero masculino e 15 (62,5 %) do gênero feminino. Quanto ao grupo étnico, foram classificados em caucasóides (brancos) 21 (87,5 %) e negróides 3 (12,5 %) pacientes. Foram feitas avaliações clínico-endocrinológica, bioquímica, hormonal, molecular e o estudo dos polimorfismos Adiponectina ADIPOQ, PPARγ2 Pro12Ala, LPL-PvuII, APOC3-SstI e LDLR-AvaII em portadores da SBS. Nesta população nós não encontramos nenhuma associação de parâmetros lipídicos e glicídicos com os polimorfismos LPL-PvuII, APOC3-SstI e LDLR-AvaII. Porém, observamos associação entre Adiponectina ADIPOQ e PPARγ2 Pro12Ala e níveis lipídicos mais elevados, sugerindo um papel biológico para estes fatores, indicando estudos mais aprofundados

Growth optimization procedures for the phytopathogen Xylella fastidiosa

For the first time, growth curves are shown for the phytopathogen Xylella fastidiosa on traditional growth media such as PW (periwinkle wilt), BCYE (buffered charcoal yeast extract), and on new ones such as GYE (glutamate yeast extract) and PYE (phosphate yeast extract) that were developed in this work. The optimal growth conditions on solid and liquid media as well as their measurements are presented, by using total protein content and turbidity determinations. The results demonstrated that yeast extract provided sufficient nutrients for X. fastidiosa, since the cells grew well on PYE medium.

Optimization of fibrolytic enzyme production by Aspergillus japonicus C03 with potential application in ruminant feed and their effects on tropical forages hydrolysis

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

Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space

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

Study of the potentiometric response of the doped spinel Li1.05Al0.02Mn1.98O4 for the optimization of a selective lithium ion sensor

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Toward the Optimization of an e-Tongue System Using Information Visualization: A Case Study with Perylene Tetracarboxylic Derivative Films in the Sensing Units

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

Search schemes for random optimization algorithms that preserve the asymptotic distribution

Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Omega subset of R-d are presented. Conditions on the search schemes that preserve the asymptotic distribution are derived. Global and local search schemes satisfying these conditions are analysed and shown to yield sharper confidence intervals when compared to the i.i.d. case.

Topliss method in the optimization of salicylic acid derivatives as potential antimycobacterial agents

The Topliss method was used to guide a synthetic path in support of drug discovery efforts toward the identification of potent antimycobacterial agents. Salicylic acid and its derivatives, p-chloro, p-methoxy, and m-chlorosalicylic acid, exemplify a series of synthetic compounds whose minimum inhibitory concentrations for a strain of Mycobacterium were determined and compared to those of the reference drug, p-aminosalicylic acid. Several physicochemical descriptors (including Hammett's sigma constant, ionization constant, dipole moment, Hansch constant, calculated partition coefficient, Sterimol-L and -B-4 and molecular volume) were considered to elucidate structure-activity relationships. Molecular electrostatic potential and molecular dipole moment maps were also calculated using the AM1 semi-empirical method. Among the new derivatives, m-chlorosalicylic acid showed the lowest minimum inhibitory concentration. The overall results suggest that both physicochemical properties and electronic features may influence the biological activity of this series of antimycobacterial agents and thus should be considered in designing new p-aminosalicylic acid analogs.

Cyclodextrin glycosyltransferase from Bacillus licheniformis: Optimization of production and its properties

Cyclodextrin glycosyltransferase (EC 2.4.1.19) is an enzyme that produces cyclodextrins from starch via an intramolecular transglycosylation reaction. An alkalophilic Bacillus strain, isolated from cassava peels, was identified as Bacillus licheniformis. CGTase production by this strain was better when potato starch was used as carbon source, followed by cassava starch and amylopectin. Glucose and amylose, on the other hand, acted as synthesis repressors. When the cultivation was supplemented with sodium ions and had the pH adjusted between 6.0 and 9.0, the microorganism maintained the growth and enzyme production capacity. This data is interesting because it contradicts the concept that alkalophilic microorganisms do not grow in this pH range. After ultrafiltration-centrifugation, one protein of 85.2 kDa with CGTase activity was isolated. This protein was identified in plates with starch and phenolphthalein. Determination of the optimum temperature showed higher activities at 25 degrees C and 55 degrees C, indicating the possible presence of more than one CGTase in the culture filtrate. Km and Vmax values were 1.77 mg/mL and 0.0263 U/mg protein, respectively, using potato starch as substrate.

Multivariate optimization and validation of an analytical methodology by RP-HPLC for the determination of losartan potassium in capsules

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration

Image restoration attempts to enhance images corrupted by noise and blurring effects. Iterative approaches can better control the restoration algorithm in order to find a compromise of restoring high details in smoothed regions without increasing the noise. Techniques based on Projections Onto Convex Sets (POCS) have been extensively used in the context of image restoration by projecting the solution onto hyperspaces until some convergence criteria be reached. It is expected that an enhanced image can be obtained at the final of an unknown number of projections. The number of convex sets and its combinations allow designing several image restoration algorithms based on POCS. Here, we address two convex sets: Row-Action Projections (RAP) and Limited Amplitude (LA). Although RAP and LA have already been used in image restoration domain, the former has a relaxation parameter (A) that strongly depends on the characteristics of the image that will be restored, i.e., wrong values of A can lead to poorly restoration results. In this paper, we proposed a hybrid Particle Swarm Optimization (PS0)-POCS image restoration algorithm, in which the A value is obtained by PSO to be further used to restore images by POCS approach. Results showed that the proposed PSO-based restoration algorithm outperformed the widely used Wiener and Richardson-Lucy image restoration algorithms. (C) 2010 Elsevier B.V. All rights reserved.

A novel approach based on recurrent neural networks applied to nonlinear systems optimization

This paper presents an efficient approach based on recurrent neural network for solving nonlinear optimization. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The main advantage of the developed network is that it treats optimization and constraint terms in different stages with no interference with each other. Moreover, the proposed approach does not require specification of penalty and weighting parameters for its initialization. A study of the modified Hopfield model is also developed to analyze its stability and convergence. Simulation results are provided to demonstrate the performance of the proposed neural network. (c) 2005 Elsevier B.V. All rights reserved.