Chromatic changes to artificial irises produced using different techniques

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

Efeito do nível e da época de desfolha artificial sobre os componentes de produtividade de cultivares de algodoeiro

The periodic substitution of cotton cultivars for the farms can modify the levels of economic damages and control of pests, compromising the success in pest control. The objective of this work was to evaluate the effect of simulated defoliation levels in cotton cultivars actually used. The assay was carried out in experimental area of the Polo Apta Centro Norte, in Pindorama, Sao Paulo state. There were evaluated four defoliations levels (0%, 36.8%, 62.1% e 100%), done at a unique operation, in tree times (30, 60 and 90 days after plant emergence) and four cotton cultivars (IAC-25, DeltaOpal, Fibermax 966 and Fibermax 993). The defoliation was done with a scissor simulating the caterpillar damage. Evaluations included the number of open bolls, weight of one boll and 100 seeds, fiber percentage and productivity (kg ha(-1)). The defoliation negatively affected all components of agronomic traits, with the exception of percentage of fiber. The most damaging levels were 62.1 and 100% removal of the leaf blade. The period of higher susceptibility to defoliation occurs from 30 to 60 days after plant emergence.

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.

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

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)

Desempenho fisiológico e superação de dormência em sementes de Brachiaria brizantha submetidas a tratamento químico e envelhecimento artificial

The use of seeds of B. brizantha has increased, however, the physiological quality of seeds available to the producer is still a limiting factor for a good performance culture. The objective of this study was to evaluate the effects caused by chemical scarification, different periods of aging and priming on physiological quality and overcoming seed dormancy B. brizantha cv. MG-5 Victory. The seeds were subjected to chemical scarification-H2SO4 ( presence and absence), artificial aging periods ( zero, 24, 48, 72, 96, 120, 144 and 168 hours) at 41 degrees C and priming using the 0,2 KNO3 % ( presence and absence) for two hours at 25 degrees C, creating a completely randomized design in factorial 2x8x2, with four repetitions. The seeds were evaluated by testing germination and vigor. Chemical scarification is an effective method for breaking dormancy, but decreases the physiological seed. Overcoming seed dormancy B. brizantha occurs with the use of artificial aging for non-scarified and scarified seeds. Priming generally has no effect on the physiological quality and overcoming seed dormancy B. brizantha, however, it provides less loss of cellular constituents.