6 resultados para Análise probabilística
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
The semiarid rainfall regime is northeastern Brazil is highly variable. Climate processes associated with rainfall are complex and their effects may represent extreme situations of drought or floods, which can have adverse effects on society and the environment. The regional economy has a significant agricultural component, which is strongly influenced by weather conditions. Maximum precipitation analysis is traditionally performed using the intensity-duration-frequency (IDF) probabilistic approach. Results from such analysis are typically used in engineering projects involving hydraulic structures such as drainage network systems and road structures. On the other hand, precipitation data analysis may require the adoption of some kind of event identification criteria. The minimum inter-event duration (IMEE) is one of the most used criteria. This study aims to analyze the effect of the IMEE on the obtained rain event properties. For this purpose, a nine-year precipitation time series (2002- 2011) was used. This data was obtained from an automatic raingauge station, installed in an environmentally protected area, Ecological Seridó Station. The results showed that adopted IMEE values has an important effect on the number of events, duration, event height, mean rainfall rate and mean inter-event duration. Furthermore, a higher occurrence of extreme events was observed for small IMEE values. Most events showed average rainfall intensity higher than 2 mm.h-1 regardless of IMEE. The storm coefficient of advance was, in most cases, within the first quartile of the event, regardless of the IMEE value. Time series analysis using partial time series made it possible to adjust the IDF equations to local characteristics
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Resumo:
The following work is to interpret and analyze the problem of induction under a vision founded on set theory and probability theory as a basis for solution of its negative philosophical implications related to the systems of inductive logic in general. Due to the importance of the problem and the relatively recent developments in these fields of knowledge (early 20th century), as well as the visible relations between them and the process of inductive inference, it has been opened a field of relatively unexplored and promising possibilities. The key point of the study consists in modeling the information acquisition process using concepts of set theory, followed by a treatment using probability theory. Throughout the study it was identified as a major obstacle to the probabilistic justification, both: the problem of defining the concept of probability and that of rationality, as well as the subtle connection between the two. This finding called for a greater care in choosing the criterion of rationality to be considered in order to facilitate the treatment of the problem through such specific situations, but without losing their original characteristics so that the conclusions can be extended to classic cases such as the question about the continuity of the sunrise
Resumo:
Tourism is configured as an activity that presents constant movement could boost local development in the economic, sociocultural and human in locations with potential for structuring and such. Because it is a dynamic activity, tourism allows changes in its flow, extending the periods of seasonality. To this end, in view of the aforementioned dynamics, it becomes relevant to the presence of tourism planning, initially starting from the government so that it create laws and standards and develop projects for the management of activities in an orderly way, seeking citizen participation, making essential the presence of actors and agents in local tourism, expanding democracy and knowledge of their place of origin. In this scenario, the Ministry of Tourism is emerging with the National Tourism Plan which incorporates among its actions, the Regionalization Program Guide, adopting a model of regional local management, a participatory manner, through the bodies of governance imposed at the poles, and the shares of public policy in their various departments most responsible for promoting tourism in pole Seridó. This scientific work aims to analyze the pole Seridó, under the theory of tourism area life cycle (TALC) proposed by BUTLER (1980), locating actions for tourism and chronology of the locality applied the proposed process activity. For both the methodology is descriptive and exploratory, qualitative approach, historical, descriptive and narrative level, non-probability sampling, using secondary sources, through documents and other records occurred during the planning processes in the region, in order to have access to information related to the planning process of tourism in Seridó, using as a way to research the data collected the technique of content analysis. As a conclusion of this study it is observed that from the survey in relation to the history of tourism in the region, economic activities of livestock, cotton industry, mining and ceramics industry were responsible for the initiation of tourism in the locality through the flow directed to the same, the insertion of the first hotels and performing traditional events, giving rise to the demand for public policies that aided in directing the activity being, therefore, inserted into the engagement phase, the second phase proposed by BUTLER (1980) model, and the study was terminated with suggestions for the continuation of tourism in the region.
Resumo:
The patient safety is a major concern in health services for its global dimension, as evidenced by the fragility of care processes that predispose an occurrence of adverse events. These events in a neonatal intensive care unit are considered serious and hazardous to lives of newborns. The present study aimed to identify and analyze adverse events in a neonatal intensive care unit based in Trigger Tool. It is an epidemiological, cross-sectional , exploratory, retrospective study with quantitative, descriptive and analytical approach, performed in 2015 at a school hospital. The sample was not probabilistic, involving 116 newborns who met the eligibility criteria. Data collection was performed by retrospective review of medical records, using a specific kind of "trigger" instrument, composed of sentinel events in neonatology, adapted from the American model used by the Vermont-Oxford Network. Data were analyzed using descriptive and inferential statistics. The chi-square test for linear trend was used to assess the associations between the variables of interest. The research received a favorable agreement from Ethics Committee of the Federal University of Rio Grande do Norte, under number 1055533, and Presentation Certificate for Ethics Assessment 43894515.6.0000.5537. The results show among investigated newborns, 110 experienced at least one adverse event during their stay, with a total of 391 medical records analyzed and rate of 3.37 events per patient. Prevailed the preterm newborns with low birth weight, from mother who had hypertensive diseases during pregnancy and urinary tract infection. The average hospitalization time was 25 days, associated with hospital-acquired infections events (p = 0.01). Among the identified adverse events stood out the events related to thermoregulation disorders (39.0%), with prevalence of hypothermia (26.0%), followed by health care-related infections (16.4%) and blood glucose disorders, hypoglycemia (9.00%) and hyperglycemia (6.64%). Most of these incidents were classified in categories E and F, which represents that there was damage small proportion. Due to these damages come from the care practice with newborn, 78% were classified as avoidable. There was statistically significant association between the variable birth weight with infections (p = 0.006) as well as peri/intraventricular bleeding (p = 0.02), hypoglycemia (p = 0.021), hyperglycemia (p = 0.001), hyperthermia (p = 0.39) and death (p=0,02). Gestational age was associated with seizures (p = 0.002), hyperglycemia (p=0.017) e hyperthermia (p=0.027). The security institution culture was reported by the health workers as intermediate, even though the number of adverse events found in only one unit of service indicates that there is much to be done. Thus the high rate of adverse events identified in the neonatal intensive care unit reinforces the necessity to elaborate specific preventive strategies for this risk environment.
Resumo:
The patient safety is a major concern in health services for its global dimension, as evidenced by the fragility of care processes that predispose an occurrence of adverse events. These events in a neonatal intensive care unit are considered serious and hazardous to lives of newborns. The present study aimed to identify and analyze adverse events in a neonatal intensive care unit based in Trigger Tool. It is an epidemiological, cross-sectional , exploratory, retrospective study with quantitative, descriptive and analytical approach, performed in 2015 at a school hospital. The sample was not probabilistic, involving 116 newborns who met the eligibility criteria. Data collection was performed by retrospective review of medical records, using a specific kind of "trigger" instrument, composed of sentinel events in neonatology, adapted from the American model used by the Vermont-Oxford Network. Data were analyzed using descriptive and inferential statistics. The chi-square test for linear trend was used to assess the associations between the variables of interest. The research received a favorable agreement from Ethics Committee of the Federal University of Rio Grande do Norte, under number 1055533, and Presentation Certificate for Ethics Assessment 43894515.6.0000.5537. The results show among investigated newborns, 110 experienced at least one adverse event during their stay, with a total of 391 medical records analyzed and rate of 3.37 events per patient. Prevailed the preterm newborns with low birth weight, from mother who had hypertensive diseases during pregnancy and urinary tract infection. The average hospitalization time was 25 days, associated with hospital-acquired infections events (p = 0.01). Among the identified adverse events stood out the events related to thermoregulation disorders (39.0%), with prevalence of hypothermia (26.0%), followed by health care-related infections (16.4%) and blood glucose disorders, hypoglycemia (9.00%) and hyperglycemia (6.64%). Most of these incidents were classified in categories E and F, which represents that there was damage small proportion. Due to these damages come from the care practice with newborn, 78% were classified as avoidable. There was statistically significant association between the variable birth weight with infections (p = 0.006) as well as peri/intraventricular bleeding (p = 0.02), hypoglycemia (p = 0.021), hyperglycemia (p = 0.001), hyperthermia (p = 0.39) and death (p=0,02). Gestational age was associated with seizures (p = 0.002), hyperglycemia (p=0.017) e hyperthermia (p=0.027). The security institution culture was reported by the health workers as intermediate, even though the number of adverse events found in only one unit of service indicates that there is much to be done. Thus the high rate of adverse events identified in the neonatal intensive care unit reinforces the necessity to elaborate specific preventive strategies for this risk environment.