Prostaglandin treatment at the onset of norgestomet and estradiol-based synchronization protocols did not alter the ovarian follicular dynamics or pregnancy per timed artificial insemination in cyclic Bos indicus heifers

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Control of Buffalo Follicular Dynamics for Artificial Insemination, Superovulation and In Vitro Embryo Production

Currently, timed ovulation induction and timed artificial insemination (TAI) can be performed in buffalo using GnRH or estradiol plus progesterone/progestin (P4)-releasing devices and prostaglandin F-2 alpha (PGF(2 alpha)). The control of the emergence of follicular waves and of ovulation at predetermined times, without the need for estrus detection, has facilitated the management and improved the efficiency of AI programs in buffalo during the breeding and nonbreeding season. Multiple ovulations, embryo transfer, ovum collection and in vitro embryo production have been shown to be feasible in buffalo, although low efficiency and limited commercial application of these techniques have been documented as well. These results could be associated with low ovarian follicular pools, high levels of follicular atresia and failures of the oocyte to enter the oviduct after superstimulation of follicular growth. This review discusses a number of key points related to the manipulation of ovarian follicular growth to improve pregnancy rates following TAI and embryo transfer of in vivo- and in vitro-derived embryos in buffalo.

Disturbance detection for optimal database storage in electrical distribution systems using artificial immune systems with negative selection

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

Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building

This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This methodology can assist professionals in the inspection of mechanical and civil structures, to identify and characterize flaws, in order to perform preventative maintenance to ensure the integrity of the structure and decision-making. In order to evaluate the methodology was made modeling a two-story building and several situations were simulated (base-line condition and improper conditions), yielding a database of signs, which were used as input data for the negative selection algorithm. The results obtained by the present method efficiency, robustness and accuracy.

Artificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical Structures

In this paper we present a system for aircraft structural health monitoring based on artificial immune systems with negative selection. Inspired by a biological process, the principle of discrimination proper/non-proper, identifies and characterizes the signs of structural failure. The main application of this method is to assist in the inspection of aircraft structures, to detect and characterize flaws and decision making in order to avoid disasters. We proposed a model of an aluminum beam to perform the tests of the method. The results obtained by this method are excellent, showing robustness and accuracy.

Efeitos do tipo de sistema adesivo e região do dente sobre a resistência adesiva à dentina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Light emitting diode (LED) use in artificial lighting for broiler chicken production

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

Software baseado em rede neural artificial desenvolvido por meio de algoritmo genético para a classificação morfológica de blastocistos bovinos

Pós-graduação em Biociências - FCLAS

Avaliação de uma nova composição de agente clareador sobre a microdureza do esmalte: associação do trimetafosfato de sódio e fluoreto de sódio ao peróxido de hidrogênio a 10%

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

MTA e hidróxido de cálcio como materiais obturadores de canal radicular em reimplante tardio de dente de macaco

O tratamento endodôntico é uma etapa importante do protocolo de atendimento do reimplante dentário e tem uma relação direta com o aparecimento das reabsorções radiculares, maior causa de perda dos dentes reimplantados. O objetivo do trabalho foi analisar o processo de reparo no reimplante tardio de dente de macaco, utilizando o hidróxido de cálcio (Ca(OH)2) e o MTA como materiais obturadores de canal. Cinco macacos Cebus apella adultos tiveram seus incisivos laterais superiores e inferiores, direito e esquerdo, extraídos e deixados em meio ambiente por 60 minutos. Decorrido esse período, foi realizado o preparo biomecânico dos canais e os dentes foram divididos em dois grupos experimentais: grupo I - canal preenchido com pasta de Ca(OH)2 e grupo II - canal preenchido com MTA (Angelus®). Após o selamento da abertura coronária com ionômero de vidro, o ligamento periodontal foi removido e os dentes imersos em solução de fluoreto de sódio 2%, pH 5,5, por 10 minutos. Em seguida, os alvéolos foram irrigados com soro fisiológico e os dentes reimplantados e contidos por 30 dias com fio de aço e resina composta. A eutanásia dos animais foi realizada 60 dias após o reimplante. Os espécimes de ambos os grupos apresentaram reabsorção por substituição e pontos de anquilose ao longo dos três terços radiculares e ausência de reabsorção inflamatória. Não houve diferença significante entre os dois grupos com relação à reabsorção por substituição, porém a quantidade de anquilose foi significativamente maior no grupo do Ca(OH)2. Baseado nesses resultados conclui-se que o MTA pode ser uma opção clínica viável para a obturação de dentes tardiamente reimplantados que necessitam de um longo período de curativo com hidróxido de cálcio.

Inferences of body energy reserves on conception rate of suckled Zebu beef cows subjected to timed artificial insemination followed by natural mating

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

Use of plastic tips in artificial feeding of Dermacentor (Anocentor) nitens females Neumann, 1897 (Acari: Ixodidae)

The establishment of laboratory colonies of ticks is often hampered by their lack of adaptation to alternative hosts. The aim of this study was to artificially feed partially engorged Dermacentor (Anocentor) nitens females through plastic tips, and to identify what are the optimal conditions of application of this technique to get as much as possible close to the natural conditions. The technique of artificial feeding through plastic tips allowed the engorgement of D. nitens ticks to a final weight within the normal range for the species. (C) 2014 Published by Elsevier GmbH.

Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification

Evolutionary algorithms have been widely used for Artificial Neural Networks (ANN) training, being the idea to update the neurons' weights using social dynamics of living organisms in order to decrease the classification error. In this paper, we have introduced Social-Spider Optimization to improve the training phase of ANN with Multilayer perceptrons, and we validated the proposed approach in the context of Parkinson's Disease recognition. The experimental section has been carried out against with five other well-known meta-heuristics techniques, and it has shown SSO can be a suitable approach for ANN-MLP training step.

Analysis of Structural Integrity Using an ARTMAP-Fuzzy Artificial Neural Network

This paper presents the application of artificial neural networks in the analysis of the structural integrity of a building. The main objective is to apply an artificial neural network based on adaptive resonance theory, called ARTMAP-Fuzzy neural network and apply it to the identification and characterization of structural failure. This methodology can help professionals in the inspection of structures, to identify and characterize flaws in order to conduct preventative maintenance to ensure the integrity of the structure and decision-making. In order to validate the methodology was modeled a building of two walk, and from this model were simulated various situations (base-line condition and improper conditions), resulting in a database of signs, which were used as input data for ARTMAP-Fuzzy network. The results show efficiency, robustness and accuracy.

Construction and preliminary characterization of a river buffalo bacterial artificial chromosome library

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