4 resultados para aberrant crypt foci

em Universidade Federal do Rio Grande do Norte(UFRN)


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The acute myeloid leukemia (AML) is a disease in which malignant myeloblasts expand, build up and suppress normal hematopoietic activity would represent a major diagnostic challenge. With the advent of immunophenotyping by flow cytometry, the diagnosis of these tumors have become more faithful, facilitating the treatment and monitoring of patients. The objectives of this study: diagnosis and classification of AML based on immunophenotyping by flow cytometry with a panel of AcMo specific for acute leukemias, set the frequency of AML in samples from patients with acute leukemias sent to the Department of Hematology Blood Center of Rio Grande do Norte - HEMONORTE, establish standards of antigen expression for different subtypes of acute leukemia and its correlation with the newly diagnosed cases refractory to treatment and recurrence of the disease, standardization of methods for detection and labeling of surface antigens by flow cytometry and intracytoplasmic flow, and observe the frequency of acute leukemia with aberrant phenotypes rare. During the study, 351 were diagnosed acute leukemia, and 179 (51%) classified as AML and 172 (49%) and ALL, which were excluded from the present work. Of the 179 AML, 92 (51.4%) were female and 87 (48.6%) were male, with ages ranging from 3 to 95 years of ag, with higher incidence in individuals in the age group of 41 to 65. Splenomegaly was the clinical finding more present, a total of 147 cases (82.1%), followed by hepatomegaly present in 132 cases (73.7%). The hemorrhagic events were observed in 55 cases (30.7%). Lymphadenopathy in turn was detected in 20 of 179 cases (11.2%). In order to classify subtypes of AML, we used a large panel of monoclonal antibodies, obtaining the following results: AML M0, 02 (1.1%) AML M1, 40 (22.3) AML M2, 60 (33.5) AML M3, 22 (12.3%) AML M4, 10 (5.6) AML M5, 13 (7.3%) AML M6 06 (3.4%) and AML M7 01 (0.6%). We observed some cases with aberrant expression of some antigens such as CD7, CD4, CD19, CD3, CD5 and TdT, CD 7 was present in 30 (16.8%), CD4 in 5 (2.8%), the CD 3 in 5 (2.8%), the CD19 in 3 (1.7%), the CD5 in 3 (1.7%) and TDT was in 7 (3.9%) cases of AML .the CD8 and CD79a was present in only a 1 case.

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Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated environment represents a complex system. This situation becomes worse when time constraints are present. This kind of simulations would benefit from a mechanism that improves the way agents perceive and react to changes in these types of environments. In other worlds, an approach to improve the efficiency (performance and accuracy) in the decision process of autonomous agents in a simulation would be useful. In complex environments, and full of variables, it is possible that not every information available to the agent is necessary for its decision-making process, depending indeed, on the task being performed. Then, the agent would need to filter the coming perceptions in the same as we do with our attentions focus. By using a focus of attention, only the information that really matters to the agent running context are perceived (cognitively processed), which can improve the decision making process. The architecture proposed herein presents a structure for cognitive agents divided into two parts: 1) the main part contains the reasoning / planning process, knowledge and affective state of the agent, and 2) a set of behaviors that are triggered by planning in order to achieve the agent s goals. Each of these behaviors has a runtime dynamically adjustable focus of attention, adjusted according to the variation of the agent s affective state. The focus of each behavior is divided into a qualitative focus, which is responsible for the quality of the perceived data, and a quantitative focus, which is responsible for the quantity of the perceived data. Thus, the behavior will be able to filter the information sent by the agent sensors, and build a list of perceived elements containing only the information necessary to the agent, according to the context of the behavior that is currently running. Based on the human attention focus, the agent is also dotted of a affective state. The agent s affective state is based on theories of human emotion, mood and personality. This model serves as a basis for the mechanism of continuous adjustment of the agent s attention focus, both the qualitative and the quantative focus. With this mechanism, the agent can adjust its focus of attention during the execution of the behavior, in order to become more efficient in the face of environmental changes. The proposed architecture can be used in a very flexibly way. The focus of attention can work in a fixed way (neither the qualitative focus nor the quantitaive focus one changes), as well as using different combinations for the qualitative and quantitative foci variation. The architecture was built on a platform for BDI agents, but its design allows it to be used in any other type of agents, since the implementation is made only in the perception level layer of the agent. In order to evaluate the contribution proposed in this work, an extensive series of experiments were conducted on an agent-based simulation over a fire-growing scenario. In the simulations, the agents using the architecture proposed in this work are compared with similar agents (with the same reasoning model), but able to process all the information sent by the environment. Intuitively, it is expected that the omniscient agent would be more efficient, since they can handle all the possible option before taking a decision. However, the experiments showed that attention-focus based agents can be as efficient as the omniscient ones, with the advantage of being able to solve the same problems in a significantly reduced time. Thus, the experiments indicate the efficiency of the proposed architecture

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Among the pests that attack corn crop in Brazil, there is Spodoptera frugiperda (JE Smith, 1797) (Lepidoptera: Noctuidae), known as fall armyworm, which is the major corn pest. Due to genetic instability during serial passage of baculoviruses in insect cell culture, the viral bioinseticides in vitro production development is the greatest challenge for mass production of this bioproduct. Successive passages of virus using extracellular viruses (BVs), necessary during viral bioinseticides production scaling up, leads to the appearance of aberrant forms of virus, a process so called as "passage effect ". The main consequence of passage effect is the production of occlusion bodies (OB) decrease, preventing its production using in vitro process. In this study, it was carried out a serial passage of baculovirus Spodoptera frugiperda multiple nucleopolyhedrovirus, isolate 18, using Sf21 cells. A decrease in the production of occlusion bodies from 170 to 92 in the third to fourth passage was observed. A factorial experimental design (22) was employed to verify the influence of two input variables, concentration of the hormone 20 - hydroxyecdysone (CH) and cholesterol (CC) on the values of response variables (volumetric and the specific OB production) of the process, seeking to define the optimum operating ranges trying to reverse or minimize the passage effect. The result indicated a negative influence of the cholesterol addition and positive effect in the hormone supplementation which the optimum range found for the concentrations studied were 8 to 10μg/mL and 5 to 6.5 mg / mL, for cholesterol and hormone concentrations respectively. New experiments were performed with addition of hormone and cholesterol in order to check the influence of these additives on the OB production independently. While the best result obtained from the factorial experiment was 9.4 x 107 OB/mL and 128.4 specific OB/cell, with the addition of only 6μg/mL 20-hydroxyecdysone these concentrations increased to 1.9 x 108 OB/mL and 182.9 OB/cell for volumetric and specific OB production, respectively. This result confirms that the addition of the hormone 20-hydroxyecdysone enhances the SfMNPV in vitro production process performance using Sf21 cells

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The current study analyses the relation between commitment (focusing on organization, career and syndicate) and the meaning of the work for 123 employees from a bank of mixed economy, crowed in agencies located in the Northeast capitals and also in four capitals out of this region: Belo Horizonte-MG, Brasília-DF, Rio de Janeiro-RJ and São Paulo-SP. It explores the commitment variability in the work of participants, as well as the score combination in foci, generating the commitment patterns, having used as an instrument a questionnaire consisting: a reduced version of OCQ Organizational Commitment Questionnaire (09 items), which measures the organizational commitment; the reduced Gordon s Scale (10 items), which measures the syndicate commitment; and the Blau s Scale, which measures the commitment to the career/occupation. It speculates, likewise, the meaning of work variability to the sample, seeking for the value attributes (what work should be), descriptive attributes (what work is) and its hierarchy, for which the ISMT-Inventário do Significado e Motivação no Trabalho has been applied; the work centrality, for which two specific inquires were used. The answers were registered in data at SPSS-Statically Package for Social for Windows, and from this point the statistical analyses were accomplished. Eight commitments to work patterns and six from the meaning of work were identified (Cluster analyses). The relation between both constructs was confirmed, corroborating other studies