3 resultados para 12930-084
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
In the last decades, the oil, gas and petrochemical industries have registered a series of huge accidents. Influenced by this context, companies have felt the necessity of engaging themselves in processes to protect the external environment, which can be understood as an ecological concern. In the particular case of the nuclear industry, sustainable education and training, which depend too much on the quality and applicability of the knowledge base, have been considered key points on the safely application of this energy source. As a consequence, this research was motivated by the use of the ontology concept as a tool to improve the knowledge management in a refinery, through the representation of a fuel gas sweetening plant, mixing many pieces of information associated with its normal operation mode. In terms of methodology, this research can be classified as an applied and descriptive research, where many pieces of information were analysed, classified and interpreted to create the ontology of a real plant. The DEA plant modeling was performed according to its process flow diagram, piping and instrumentation diagrams, descriptive documents of its normal operation mode, and the list of all the alarms associated to the instruments, which were complemented by a non-structured interview with a specialist in that plant operation. The ontology was verified by comparing its descriptive diagrams with the original plant documents and discussing with other members of the researchers group. All the concepts applied in this research can be expanded to represent other plants in the same refinery or even in other kind of industry. An ontology can be considered a knowledge base that, because of its formal representation nature, can be applied as one of the elements to develop tools to navigate through the plant, simulate its behavior, diagnose faults, among other possibilities
Resumo:
OBJECTIVE: Preeclampsia is a disease that can lead to a high maternal and infant morbidity. Worldwide, the incidence of this disease is highly variable and there is no data on this disorder in the Brazilian population. This study aimed at determining incidence and risk factors in the hypertensive disorders during pregnancy in a neighborhood of Natal, in addition to observing the evolution of these disorders one year and five years after delivery. METHODS: Prospective cohort study to assess the outcome of pregnancies of 242 women who became pregnant between 2004-2007 in the neighborhood of Bom Pastor in the city of Natal, state of RN, Brazil. Five years after delivery, there was an active search of thirty-nine (39) women who became pregnant and had a hypertensive disorder during pregnancy and/or pré-eclâmpsia, out of the total of 242 participants in the initial study. We administered a structured questionnaire to obtain basic information about the current clinical situation of patients and occurrences of subsequent pregnancy and presence of hypertensive disorders during pregnancy. We also searched for information on the use of hypotensive drugs and contraceptives. The following characteristics were checked and recorded: a) current weight, b) blood pressure c) body mass index - BMI, and we collected biological samples (blood and urine) for measurement of biochemical parameters and evaluation of microalbuminúria. Finally, we monitored the ambulatory blood pressure (ABP), which uses the method of automatic measurement of heart rate, systolic and diastolic blood pressure and an average of the two for the period of 24 hours. RESULTS: Out of 218 women who completed the study, the incidence of hypertensive disorders was of 16.9% (37 out of 218), while the incidence of preeclampsia was 13.8% (30 of 218). Women with preeclampsia had a BMI (body mass index) averaged of 25.3 (± 4.8) while this ratio in normotensive women was of 23.5 (± 3.7), p = 0.02. The risk of preeclampsia rises with age (OR 1084 p = 0.0034) and with a family history of hypertension (OR 2.6 p = 0.01). The follow-up one year after delivery revealed that 50% of women with hypertensive disorders in pregnancy remained hypertensive. High BMI was also observed after 5 years of delivery. CONCLUSIONS: an elevated BMI, age above 35 years and excessive weight gain during pregnancy were associated with hypertension in the long term in patients with prior preeclampsia. History of preeclampsia increases the risk of chronic hypertension
Resumo:
In the last decades, the oil, gas and petrochemical industries have registered a series of huge accidents. Influenced by this context, companies have felt the necessity of engaging themselves in processes to protect the external environment, which can be understood as an ecological concern. In the particular case of the nuclear industry, sustainable education and training, which depend too much on the quality and applicability of the knowledge base, have been considered key points on the safely application of this energy source. As a consequence, this research was motivated by the use of the ontology concept as a tool to improve the knowledge management in a refinery, through the representation of a fuel gas sweetening plant, mixing many pieces of information associated with its normal operation mode. In terms of methodology, this research can be classified as an applied and descriptive research, where many pieces of information were analysed, classified and interpreted to create the ontology of a real plant. The DEA plant modeling was performed according to its process flow diagram, piping and instrumentation diagrams, descriptive documents of its normal operation mode, and the list of all the alarms associated to the instruments, which were complemented by a non-structured interview with a specialist in that plant operation. The ontology was verified by comparing its descriptive diagrams with the original plant documents and discussing with other members of the researchers group. All the concepts applied in this research can be expanded to represent other plants in the same refinery or even in other kind of industry. An ontology can be considered a knowledge base that, because of its formal representation nature, can be applied as one of the elements to develop tools to navigate through the plant, simulate its behavior, diagnose faults, among other possibilities