910 resultados para Support Decision System
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Pós-graduação em Alimentos e Nutrição - FCFAR
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Pós-graduação em Serviço Social - FCHS
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Surface water quality models have been developed since 1925, when Streeter e Phelps created first order equations that represent the balance between DO and BOD. Since then, and specially after the ‘60s, new computational technologies evolved, making it possible to create more complex models, which try to represent, through mathematics, natural phenomena like eutrophication and rivers self-depuration. As main objective of such models is the understanding of aquatic systems and the relationship between them and the environment, so that it can support decision makers in creating water manage plans and in elaborating environmental projects of such resources. Regarding to that, it is of crucial importance the understanding of the models structures, so that one can choose the most appropriate model for the river in question. While one-dimensional models like QUAL2K are more appropriate for long and narrow rivers, bi- or tridimensional models (CE-QUAL-W2, WASP and CEQUAL- ICM) are more commonly used in wide and slower rivers, with higher lateral and/or vertical mixes rates. Besides, the more complex is the river studied more complex the model should be, which demands more costs and time for the model to be applied
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Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Surveillance Levels (SLs) are categories for medical patients (used in Brazil) that represent different types of medical recommendations. SLs are defined according to risk factors and the medical and developmental history of patients. Each SL is associated with specific educational and clinical measures. The objective of the present paper was to verify computer-aided, automatic assignment of SLs. The present paper proposes a computer-aided approach for automatic recommendation of SLs. The approach is based on the classification of information from patient electronic records. For this purpose, a software architecture composed of three layers was developed. The architecture is formed by a classification layer that includes a linguistic module and machine learning classification modules. The classification layer allows for the use of different classification methods, including the use of preprocessed, normalized language data drawn from the linguistic module. We report the verification and validation of the software architecture in a Brazilian pediatric healthcare institution. The results indicate that selection of attributes can have a great effect on the performance of the system. Nonetheless, our automatic recommendation of surveillance level can still benefit from improvements in processing procedures when the linguistic module is applied prior to classification. Results from our efforts can be applied to different types of medical systems. The results of systems supported by the framework presented in this paper may be used by healthcare and governmental institutions to improve healthcare services in terms of establishing preventive measures and alerting authorities about the possibility of an epidemic.
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Objectives: to identify factors associated with maternal intrapartum transfer from a freestanding birth centre to hospital. Design: case-control study with retrospective data collection. Participants and settings: cases included all 111 women transferred from a freestanding birth centre in Sao Paulo to the referral hospital, from March 2002 to December 2009. The controls were 456 women who gave birth in the birth centre during the same period who were not transferred, randomly selected with four controls for each case. Methods: data were obtained from maternal records. Factors associated with maternal intrapartum transfers were initially analysed using a chi(2) test of association. Variables with p < 0.20 were then included in multivariate analyses. A multiple logistic regression model was built using stepwise forward selection; variables which reached statistical significance at p < 0.05 were considered to be independently associated with maternal transfer. Findings: during the study data collection period, 111(4%) of 2,736 women admitted to the centre were transferred intrapartum. Variables identified as independently associated factors for intrapartum transfer included nulliparity (OR 5.1, 95% CI 2.7-9.8), maternal age >= 35 years (OR 5.4, 95% CI 2.1-13.4), not having a partner (OR 2.8, 95% CI 1.5-5.3), cervical dilation <= 3 cm on admission to the birth centre (OR 1.9, 95% CI 1.1-3.2) and between 5 and 12 antenatal appointments at the birth centre (OR 3.8, 95% CI 1.9-7.5). In contrast, a low correlation between fundal height and pregnancy gestation (OR 0.3, 95% CI 0.2-0.6) appeared to be protective against transfer. Conclusions and implications for practice: identifying factors associated with maternal intrapartum transfer could support decision making by women considering options for place of birth, and support the content of appropriate information about criteria for admission to a birth centre. Findings add to the evidence base to support identification of women in early labour who may experience later complications and could support timely implementation of appropriate interventions associated with reducing transfer rates. (C) 2012 Elsevier Ltd. All rights reserved.
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MFA and LCA methodologies were applied to analyse the anthropogenic aluminium cycle in Italy with focus on historical evolution of stocks and flows of the metal, embodied GHG emissions, and potentials from recycling to provide key features to Italy for prioritizing industrial policy toward low-carbon technologies and materials. Historical trend series were collected from 1947 to 2009 and balanced with data from production, manufacturing and waste management of aluminium-containing products, using a ‘top-down’ approach to quantify the contemporary in-use stock of the metal, and helping to identify ‘applications where aluminium is not yet being recycled to its full potential and to identify present and future recycling flows’. The MFA results were used as a basis for the LCA aimed at evaluating the carbon footprint evolution, from primary and electrical energy, the smelting process and the transportation, embodied in the Italian aluminium. A discussion about how the main factors, according to the Kaya Identity equation, they did influence the Italian GHG emissions pattern over time, and which are the levers to mitigate it, it has been also reported. The contemporary anthropogenic reservoirs of aluminium was estimated at about 320 kg per capita, mainly embedded within the transportation and building and construction sectors. Cumulative in-use stock represents approximately 11 years of supply at current usage rates (about 20 Mt versus 1.7 Mt/year), and it would imply a potential of about 160 Mt of CO2eq emissions savings. A discussion of criticality related to aluminium waste recovery from the transportation and the containers and packaging sectors was also included in the study, providing an example for how MFA and LCA may support decision-making at sectorial or regional level. The research constitutes the first attempt of an integrated approach between MFA and LCA applied to the aluminium cycle in Italy.
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The growing need to assess the environmental status of the Mediterranean coastal marine habitats and the large availability of data collected by Reef Check Italia onlus (RCI) volunteers suggest the possibility to develop innovative and reliable indices that may support decision makers in applying conservation strategies. The aims of this study were to check the reliability of data collected by RCI volunteers, analyse the spatial and temporal distribution of RCI available data, resume the knowledge on the biology and ecology of the monitored species, and develop innovative indices to asses the ecological quality of Mediterranean subtidal rocky shores and coralligenous habitats. Subtidal rocky shores and coralligenous were chosen because these are the habitats more attractive for divers; therefore mlst data are referring to them, moreover subtidal rocky bottom are strongly affected by coastal urbanisation, land use, fishing and tourist activities, that increase pollution, turbidity and sedimentation. Non-indigenous species (NIS) have been recognized as a major threat to the integrity of Mediterranean native communities because of their proliferation, spread and impact on resident communities. Monitoring of NIS’ spreading dynamics at the basin spatial scale is difficult but urgent. According to a field test, the training provided by RCI appears adequate to obtain reliable data by volunteers. Based on data collected by RCI volunteers, three main categories of indices were developed: indices based on species diversity, indices on the occurrence non-indigenous species, and indices on species sensitive toward physical, chemical and biological disturbances. As case studies, indices were applied to stretches of coastline defined according to management criteria (province territories and marine protected areas). The assessments of ecological quality in the Tavolara Marine Protected Area using the species sensitivities index were consisten with those previously obtained with traditional methods.
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BACKGROUND: The assessment of driving-relevant cognitive functions in older drivers is a difficult challenge as there is no clear-cut dividing line between normal cognition and impaired cognition and not all cognitive functions are equally important for driving. METHODS: To support decision makers, the Bern Cognitive Screening Test (BCST) for older drivers was designed. It is a computer-assisted test battery assessing visuo-spatial attention, executive functions, eye-hand coordination, distance judgment, and speed regulation. Here we compare the performance in BCST with the performance in paper and pencil cognitive screening tests and the performance in the driving simulator testing of 41 safe drivers (without crash history) and 14 unsafe drivers (with crash history). RESULTS: Safe drivers performed better than unsafe drivers in BCST (Mann-Whitney U test: U = 125.5; p = 0.001) and in the driving simulator (Student's t-test: t(44) = -2.64, p = 0.006). No clear group differences were found in paper and pencil screening tests (p > 0.05; ns). BCST was best at identifying older unsafe drivers (sensitivity 86%; specificity 61%) and was also better tolerated than the driving simulator test with fewer dropouts. CONCLUSIONS: BCST is more accurate than paper and pencil screening tests, and better tolerated than driving simulator testing when assessing driving-relevant cognition in older drivers.
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La diversidad temática y complejidad estructural de las universidades nacionales argentinas hacen que la identificación de sus perfiles científicos no resulte sencilla. En este estudio se realiza una aproximación metodológica para el análisis del perfil temático y patrones de colaboración de estos dominios científicos, a partir del estudio bibliométrico de las contribuciones científicas de las facultades que las conforman, sin perder de vista sus posicionamientos relativos respecto de la universidad de la que son parte y del país en su conjunto. Como ejemplo de aplicación de la metodología propuesta se estudia el caso de una facultad, la Facultad de Ciencias Naturales y Museo (FCNyM) de la Universidad Nacional de La Plata (UNLP), Argentina. Se realiza un análisis bibliométrico de sus contribuciones científicas recogidas en el Science Citation Index versión CD-ROM para el período 1991-2000, identificando y comparando su perfil, patrones y posicionamiento científico relativo en los contextos de la UNLP y de Argentina. Los resultados muestran que la metodología propuesta es una alternativa válida tanto para relevar las fortalezas científicas de una universidad como para aportar información cuantitativa y cualitativa de apoyo a la toma de decisiones en materia de planificación y evaluación de sus actividades de investigación
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La diversidad temática y complejidad estructural de las universidades nacionales argentinas hacen que la identificación de sus perfiles científicos no resulte sencilla. En este estudio se realiza una aproximación metodológica para el análisis del perfil temático y patrones de colaboración de estos dominios científicos, a partir del estudio bibliométrico de las contribuciones científicas de las facultades que las conforman, sin perder de vista sus posicionamientos relativos respecto de la universidad de la que son parte y del país en su conjunto. Como ejemplo de aplicación de la metodología propuesta se estudia el caso de una facultad, la Facultad de Ciencias Naturales y Museo (FCNyM) de la Universidad Nacional de La Plata (UNLP), Argentina. Se realiza un análisis bibliométrico de sus contribuciones científicas recogidas en el Science Citation Index versión CD-ROM para el período 1991-2000, identificando y comparando su perfil, patrones y posicionamiento científico relativo en los contextos de la UNLP y de Argentina. Los resultados muestran que la metodología propuesta es una alternativa válida tanto para relevar las fortalezas científicas de una universidad como para aportar información cuantitativa y cualitativa de apoyo a la toma de decisiones en materia de planificación y evaluación de sus actividades de investigación
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La diversidad temática y complejidad estructural de las universidades nacionales argentinas hacen que la identificación de sus perfiles científicos no resulte sencilla. En este estudio se realiza una aproximación metodológica para el análisis del perfil temático y patrones de colaboración de estos dominios científicos, a partir del estudio bibliométrico de las contribuciones científicas de las facultades que las conforman, sin perder de vista sus posicionamientos relativos respecto de la universidad de la que son parte y del país en su conjunto. Como ejemplo de aplicación de la metodología propuesta se estudia el caso de una facultad, la Facultad de Ciencias Naturales y Museo (FCNyM) de la Universidad Nacional de La Plata (UNLP), Argentina. Se realiza un análisis bibliométrico de sus contribuciones científicas recogidas en el Science Citation Index versión CD-ROM para el período 1991-2000, identificando y comparando su perfil, patrones y posicionamiento científico relativo en los contextos de la UNLP y de Argentina. Los resultados muestran que la metodología propuesta es una alternativa válida tanto para relevar las fortalezas científicas de una universidad como para aportar información cuantitativa y cualitativa de apoyo a la toma de decisiones en materia de planificación y evaluación de sus actividades de investigación
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We recover and develop some robotic systems concepts (on the light of present systems tools) that were originated for an intended Mars Rover in the sixties of the last century at the Instrumentation Laboratory of MIT, where one of the authors was involved. The basic concepts came from the specifications for a type of generalized robot inspired in the structure of the vertebrate nervous systems, where the decision system was based in the structure and function of the Reticular Formation (RF). The vertebrate RF is supposed to commit the whole organism to one among various modes of behavior, so taking the decisions about the present overall task. That is, it is a kind of control and command system. In this concepts updating, the basic idea is that the RF comprises a set of computing units such that each computing module receives information only from a reduced part of the overall, little processed sensory inputs. Each computing unit is capable of both general diagnostics about overall input situations and of specialized diagnostics according to the values of a concrete subset of the input lines. Slave systems to this command and control computer, there are the sensors, the representations of external environment, structures for modeling and planning and finally, the effectors acting in the external world.