6 resultados para AHR

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Oil refinery effluents contain many chemicals at variable concentrations. Therefore, it is difficult to predict potential effects on the environment. The Atibaia River (SP, Brazil), which serves as a source of water supply for many municipalities, receives the effluents of one of the biggest oil refinery of this country. The aim of this study was to identify the (eco)toxicity of fresh water sediments under the influence of this oil refinery through neutral red (cytotoxicity) and ethoxyresorufin-O-deethylase (EROD) assays (AhR-mediated toxicity) in RTL-W1 cells (derived from fish liver). Once the refinery captures the waters of Jaguarí River for the development of its activities and discharges its effluents after treatment into the Atibaia River, which then flows into Piracicaba River, sediments from both river systems were also investigated. The samples showed a high cytotoxic potential, even when compared to well-known pollution sites. However, the cytotoxicity of samples collected downstream the effluent was not higher than that of sediments collected upstream, which suggested that the refinery discharges are not the main source of pollution in those areas. No EROD activity could be recorded, which could be confirmed by chemical analyses of polycyclic aromatic hydrocarbons (PAHs) that revealed a high concentration of phenanthrene, anthracene, fluoranthene, and pyrene, which are not EROD inducers in RTL-W1 cells. In contrast, high concentrations of PAHs were found upstream the refinery effluent, corroborating cytotoxicity results from the neutral red assay. A decrease of PAHs was recorded from upstream to downstream the refinery effluent, probably due to dilution of compounds following water discharges. On the other hand, these discharges apparently contribute specifically to the amount of anthracene in the river, since an increase of anthracene concentrations could be recorded downstream the effluent. Since the extrapolation of results from acute toxicity to specific toxic effects with different modes of action is a complex task, complementary bioassays covering additional specific effects should be applied in future studies for better understanding of the overall ecotoxicity of those environments.

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On-line learning methods have been applied successfully in multi-agent systems to achieve coordination among agents. Learning in multi-agent systems implies in a non-stationary scenario perceived by the agents, since the behavior of other agents may change as they simultaneously learn how to improve their actions. Non-stationary scenarios can be modeled as Markov Games, which can be solved using the Minimax-Q algorithm a combination of Q-learning (a Reinforcement Learning (RL) algorithm which directly learns an optimal control policy) and the Minimax algorithm. However, finding optimal control policies using any RL algorithm (Q-learning and Minimax-Q included) can be very time consuming. Trying to improve the learning time of Q-learning, we considered the QS-algorithm. in which a single experience can update more than a single action value by using a spreading function. In this paper, we contribute a Minimax-QS algorithm which combines the Minimax-Q algorithm and the QS-algorithm. We conduct a series of empirical evaluation of the algorithm in a simplified simulator of the soccer domain. We show that even using a very simple domain-dependent spreading function, the performance of the learning algorithm can be improved.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Uterine leiomyomas (UL) are benign smooth muscle tumors from myometrium, representing the major indication for hysterectomies and a significant public health problem. Several genetics alterations have been associated with its development and pathogenesis. Although the initial factors that lead to the development of uterine leiomyomas are unclear, there are several evidences showing that ovarian steroids, estrogen and progesterone, are associated with these tumors.Recent reports, however, show others genes related with distinct signalization pathways besides sex hormones, which may be or not activated by these hormones, are associated with uterine leiomyomas development. In this study, the AHR, ESR1, ESR2, PGR and WNT7A gene transcripts expression was evaluated using quantitative real time RT-PCR in 58 UL samples compared to five normal myometrium tissues to explore the hormonal molecular basis of these tumors and associate these expression pattern with clinical and pathological features. The present study showed AHR, ESR1, ESR2, PGR and WNT7A down expression in 60%, 43%, 52%, 60% e 40% of the tumors, respectively, and a significant AHR loss of expression compared with the controls samples (P=0.0130). The comparison between the genes expression values revealed a positive correlation between the AHR and ESR1 transcripts (P<0.0001; r=0.6911) and between the genes ESR1 and WNT7A (P<0.0001; r=0.5655). The expression pattern was compared with clinical and pathological features. The WNT7A gene presented a differential expression pattern between the proliferative and secretory phase of menstrual cycle (P=0.0373) and the AHR and ESR1 genes were differentially expressed between women in reproductive and menopause years (P=0.0267; P=0.0415, respectively). The ESR1 and WNT7A down regulation was statistically ...(Complete abstract click electronic access below)