899 resultados para Leather, Artificial
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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.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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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.
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With the increasing development of the brazilian sheep production, the producer was forced to achieve higher production rates. The use of artificial insemination has been shown as an important biotechnological tool in animal breeding. Among the various existing techniques, the superficial cervical insemination with fresh semen is demonstrating fertility rates between 70 and 80% (AISEN, 2008), in addition to its applicability, it does not require sophisticated equipment or manpower to highly specialized implementing these plans greater possibility in your job to maximize reproduction and greater dissemination of superior genetic material on the property. This study aims to address aspects of artificial insemination with fresh semen in sheep and its applicability in commercial herds biotechnology as a tool in assisted reproduction
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Current cattlemen must seek methods to maximum reproductive efficiency of their beef herds, making the business competitive and enhancing greater profitability. For the cow-calf producers, efficiency translates into more cows producing one calf every year. Fixed-time artificial insemination (TAI) is one of several technologies that producers utilize to reach this goal. Postpartum anestrus is one of the biggest obstacles to overcome in order to obtain suitable results at the end of the breeding season. The TAI protocols are efficient in re-establishing cyclicity in noncycling cows during the postpartum period, streamlining the use of labor on farms, allowing the use of artificial insemination (AI) on a large scale, and introducing superior genetics to the herd. The protocols that are most commonly used in Brazil are based on progesterone (P4) releasing devices that prevent premature estrus and ovulation; and estradiol (E2) to synchronize the initiation of a new follicular wave. In such protocols, administration of equine chorionic gonadotropin (eCG) helps the development of the follicle, increases ovulation rate, improves the endocrine and uterine environment during proestrus and diestrus, and improves fertility. The use of eCG in TAI protocols for suckled cows, non-lactating cows and heifers increases the pregnancy rate allowing more calves at the end of the breeding season and higher profitability to the cattlemen
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The market of digital games have grown in the last years, becoming popular between many ages, the number of smartphones and tablets users have also showed a recent increase, including the ones using Android as operational system. The main objective of a digital game is the ludic activity but also it can be used as a tool to education, learning and even simulation. This work proposes the development of a game for smartphones or tablet running on Android operational system, this game will simulate living beings in an environment, each one with different behaviors, based in the concepts of artificial live, cellular automata and emergence. This way simulating the behavior of a living being community with a computational base in artificial live and following concepts of game design. The game can represent visually some characteristics of living beings, as well behaviors and interactions between them, in a very simple way. The game can be upgraded in the future to represent better living beings using more details to the simulation of these
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The applications market is heated and has grown in the recent years, every day thousands of apps are downloaded and many of these are electronic games and are intended for smartphones and tablets. The electronic games are often integrated with an online system which has the function of providing extra functionality to the players. This project proposes the development of online support system to a game designed for mobile devices, consisting of a website and a database which has the function of storing data online beyond a system called the back end which has the function to integrate all the modules mentioned previously
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Pós-graduação em Medicina Veterinária - FCAV
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Pós-graduação em Odontologia Restauradora - ICT
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In this study the effects of thermal and mechanical cycles on the hardness and roughness of artificial teeth were evaluated. Materials and Methods:Specimens were prepared and stored in distilled water at 37ºC for 48 hours (n=10).The hardness and roughness readings were made in the following time intervals, according to each group:G1: after specimen storage in distilled water at 37°C for 48 hours; G2: after 600.000 constant mechanical cycles; G3: after 1.200.000 constant mechanical cycles; G4: after 2.500 thermalcycling baths, alternated between hot water (55°C) and cold water (5°C) and G5: after 5.000 thermalcycling baths, alternated between hot water (55°C) and cold water (5°C). After cycling and storage procedures, the specimens of each group were submittedto surface roughness and hardness readouts. Statistical evaluation was performed by three-way analysis of variance, complemented by the Tukey multiple comparisons of means test. The level of significance adopted was 5%. There was no significant difference between G1, G4 and G5 as regards mean roughness of different brands of artificial teeth. Groups G2 and G3 showed higher mean roughness values, and generally equivalent values in all time intervals, except for Trilux (G3> G2). Significant differences in hardness values were observed in different brands of artificial teeth, and differences in values after thermal and mechanical cycling. In conclusion, our findings suggest that thermal cyclingdid not change the roughness of the artificial teeth tested, but after the mechanical cycling the roughness values increased. Thermal and mechanical cycling influenced the hardness of the artificial teeth tested.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture media for these cell lines include commonly in their composition a pH indicator. Spectroscopic techniques are used for biopharmaceutical process monitoring, among them, UV–Vis spectroscopy has found scarce applications. This work aimed to define artificial neural networks architecture and fit its parameters to predict some nutrients and metabolites, as well as viable cell concentration based on UV–Vis spectral data of mammalian cell bioprocess using phenol red in culture medium. The BHK-21 cell line was used as a mammalian cell model. Off-line spectra of supernatant samples taken from batches performed at different dissolved oxygen concentrations in two bioreactor configurations and with two pH control strategies were used to define two artificial neural networks. According to absolute errors, glutamine (0.13 ± 0.14 mM), glutamate (0.02 ± 0.02 mM), glucose (1.11 ± 1.70 mM), lactate (0.84 ± 0.68 mM) and viable cell concentrations (1.89 105 ± 1.90 105 cell/mL) were suitably predicted. The prediction error averages for monitored variables were lower than those previously reported using different spectroscopic techniques in combination with partial least squares or artificial neural network. The present work allows for UV–VIS sensor development, and decreases cost related to nutrients and metabolite quantifications.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)