The Role of Genetic Predisposition in Diagnosis and Therapy of Periodontal Diseases in Type 1 Diabetes Mellitus.
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Cell Replacement Therapy: The Rationale for Encapsulated Porcine Islet Transplantation.
Understanding Pancreatic Secretion in Type 1 Diabetes.
Diabetic Nephrophaty in Children
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Type: Book
Impact of Hyperglycemia on Xerostomia and Salivary Composition and Flow Rate of Adolescents with Type 1 Diabe…
by Ivana Maria Saes Busato, Antônio Adilson Soares de Lima, Carlos Cesar Deantoni, João Armando Brancher, Luciana Reis Azevedo-Alanis, Maria Ângela Naval Machado, Rosângela Réa
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Type: Book
Impact of Hyperglycemia on Xerostomia and Salivary Composition and Flow Rate of Adolescents with Type 1 Diabetes Mellitus.
"Astronomy is designed to meet the scope and sequence requirements of one- or two-semester introductory astronomy courses. The book begins with relevant scientific fundamentals and progresses through an exploration of the solar system, stars, galaxies and cosmology. The Astronom…
This work presented and tested an optimization procedure that takes into account robustness in multi-objective optimization. It was shown that the method is able to deal with different types of problems and with different degrees of complexity. The extension of the robust Pareto…
This chapter presented a grid based problem solving environment that uses EAs and other algorithms all falling under the meta heuristics category to offer black box global optimization for the user. The chapter first highlighted the grid computing technology and then discussed w…
In this paper, we tuned membership functions shape and input/output gain of FPSS using AEA that is algorithm that ratio of population to which GA and ES will adapt is adaptively.
This chapter introduces a unified symbiotic evolution framework (the HSEFC) for feedforward and recurrent fuzzy controller design in reinforced learning environments. The.
A successful evolutionary algorithm is one with a proper balance between exploration (searching for good solutions), and exploitation (refining the solutions by combining information gathered during the exploration phase). In this study, a new hybrid version of PSO called HPSO i…
In the last two decades, computational enhancements highly contributed to the increase in popularity of DTI algorithms. This cause the successful use of Decision Tree Induction (DTI) using recursive partitioning algorithms in many diverse areas such as radar signal classificatio…
The island based model proves to be effective under different dynamics. Although statistical analysis suggest that these benefits are not significant under some problem dynamics, this model can be more rewarding if several processors are employed. With each island allocated to a…
A new multi-objective uniform-diversity genetic algorithm (MUGA) has been proposed and successfully used for some test functions and for thermodynamic cycle optimization of ideal turbojet engines. It has been shown that the performance of this algorithm is superior to that.
We have presented three methods for learning the structure of a Bayesian network. The first one consists in the control of the probability distribution of mutation in the genetic algorithm. The second one is to incorporate a scheme penalty in the genetic algorithm so that it avo…
It can be affirmed, in conclusion to this chapter, that the FPBIL is an evolutionary algorithm, competitive with the best current optimization techniques, compact, relatively modest in the use of computational resources--like PBIL--, well founded, efficient, robust, self-adaptab…
In this paper we have described a multi-purpose machine learning approach based on various evolutionary computation concepts that is applicable for several data mining.
This chapter presented a study on Genetic Algorithms (GA) with dissortative mating. A survey on non-random mating was given, in which the most prominent techniques in Evolutionary Computation literature were presented and described. In addition, a survey on Bio-inspired Computat…
A new hybrid evolutionary algorithm using clustering-based hybrid evolutionary algorithm (CHEA), is proposed in this chapter. The main feature of CHEA is the clustering of individuals introduced for evaluating the degree of maturity of genetic evolution. After the clustering-bas…