EmergencyGrid:Planning in Convergence Environments

Government agencies are often responsible for event handling, planning, coordination, and status reporting during emergency response in natural disaster events such as floods, tsunamis and earthquakes. Across such a range of emergency response scenarios, there is a common set of requirements that distributed intelligent computer systems generally address. To support the implementation of these requirements, some researchers are proposing the creation of grids, where final interface and processing nodes perform joint work supported by a network infrastructure. The aim of this project is to extend the concepts of emergency response grids, using a convergence scenario between web and other computational platforms. Our initial work focuses on the Interactive Digital TV platform, where we intend to transform individual TV devices into active final nodes, using a hierarchical planning structure. We describe the architecture of this approach and an initial prototype specification that is being developed to validate some concepts and illustrate the advantages of this convergence planning environment

Effect of prophylactic non-invasive mechanical ventilation on functional capacity after heart valve replacement: a clinical trial

OBJECTIVE: During cardiac surgery, several factors contribute to the development of postoperative pulmonary complications. Non-invasive ventilation is a promising therapeutic tool for improving the functionality of this type of patient. The aim of this study is to evaluate the functional capacity and length of stay of patients in a nosocomial intensive care unit who underwent prophylactic non-invasive ventilation after heart valve replacement. METHOD: The study was a controlled clinical trial, comprising 50 individuals of both sexes who were allocated by randomization into two groups with 25 patients in each group: the control group and experimental group. After surgery, the patients were transferred to the intensive care unit and then participated in standard physical therapy, which was provided to the experimental group after 3 applications of non-invasive ventilation within the first 26 hours after extubation. For non-invasive ventilation, the positive pressure was 10 cm H2O, with a duration of 1 hour. The evaluation was performed on the 7th postoperative day/discharge and included a 6-minute walk test. The intensive care unit and hospitalization times were monitored in both groups. Brazilian Registry of Clinical Trials (REBeC): RBR number 8bxdd3. RESULTS: Analysis of the 6-minute walk test showed that the control group walked an average distance of 264.34±76 meters and the experimental group walked an average distance of 334.07±71 meters (p=0.002). The intensive care unit and hospitalization times did not differ between the groups. CONCLUSION: Non-invasive ventilation as a therapeutic resource was effective toward improving functionality; however, non-invasive ventilation did not influence the intensive care unit or hospitalization times of the studied cardiac patients

Application of the nonlinear autoregressive model with exogenous inputs for river level forecast in the Amazon

The present work is justified by three basic lines that involve the problem of the theme, which are the use of Artificial Intelligence, the problem of floods in the Amazon and the issue of technology in favor of decision making. The environmental impacts caused by economic and social factors are problems portrayed in scenarios such as floods and ebbs of rivers, bringing up situations such as an increase in diseases, reduction of agricultural production in locations that depend on accurate geological control, in addition to the increase in erosive processes. in risk locations. Thus, the use of AI to predict the river level, which consequently can minimize problems arising from floods that cause an environmental impact, is highly possible, since when it is known in advance that an event is close to happening, decisions can be taken so that the impacts be smaller. This work models and applies NARX to forecast the river level in the Amazon with variables of easy access and implementation through the MATLAB software, in order to contribute with a forecast model capable of predicting a possible flood from the river level.

Associated control of Alphitobius diaperinus and effect of effective microorganisms in the development of Beauveria bassiana

O objetivo deste trabalho foi avaliar a eficiência de Beauveria bassiana (Bb), terra diatomácea (TD) e microrganismos eficazes (EM-4), associados ou não, no controle de Alphitobius diaperinus, e o efeito de EM-4 no desenvolvimento de B. bassiana. Os agentes de controle (Bb, TD e EM-4), em diferentes concentrações e combinações, foram aplicados em uma mistura de cama-de-frango e ração, em que os insetos foram acondicionados por dez dias. Avaliaram-se, in vitro: a germinação, as unidades formadoras de colônia (UFC), o crescimento vegetativo e a produtividade de conídios de Bb em contato com suspensão aquosa de EM-4 (1%) não filtrada e filtrada. Os maiores índices de mortalidade foram observados nos tratamentos TD + Bb + EM-4 e TD + Bb, nas maiores concentrações. Verificou-se efeito não-aditivo sinérgico para TD + Bb nas três concentrações. Nos testes com EM-4 filtrado, não houve diferença em relação à testemunha quanto à germinação e às UFC, entretanto, o crescimento vegetativo e a produtividade de conídios foram negativamente afetados. O uso conjunto de B. bassiana e terra diatomácea, para o manejo de populações de A. diaperinus, pode reduzir o uso de produtos químicos.The objective of this work was to evaluate Beauveria bassiana (Bb), diatomaceous earth (TD) and effective microorganisms (EM-4), associated or not, to Alphitobius diaperinus control, and the EM-4 effect on B. bassiana development. The control agents (Bb, TD and EM-4), in different concentrations and combinations, were applied in a mixture of litter and chicken food, where insects had been left per ten days. Conidia germination, colony-forming units (CFU), vegetative growth and the productivity of Bb conidia were evaluated when in contact with a filtered and non filtered watery EM-4 suspension (1%). The highest indices of mortality were observed in the treatments TD + Bb + EM and TD + Bb in the highest concentrations. A synergic non additive effect was observed for TD + Bb in the three concentrations. In filtered EM-4 tests, no difference was observed related to the control of germination and CFU, however, vegetative growth and conidia productivity were negatively affected. The joint use of B. bassiana and diatomaceous earth for A. diaperinus populations management can minimize the use of chemical products

Consulta Semântica Baseada em Linked Data para Ambientes de Convergência Digital (TVDi e Web)

The emergence of Digital TV brought, beyond high definition, the potential of the interactivity and metadata relative to the TV programmes, but some information provided by the broadcasts can be insufficient to the user make a decision on what he/she is going to watch. This work aims to propose a Semantic Query approach in the Interactive Digital TV environment, based on the concepts and designs of the Semantic Web, providing an advanced service of semantic query, and a way for doing metadata enrichment coming from the broadcasters, adding semantic relationships and expanding the information in a graph of data coming from the Linked Data cloud. A Web Service of Semantic Query integrated into the Knowledge-TV platform was developed to validate this proposal.O surgimento da TV Digital trouxe, além da alta definição, o potencial da interatividade e metadados relativos à programação da TV. Porém, algumas informações disponibilizadas pelas emissoras podem não ser suficientes para o usuário tomar uma decisão sobre o que vai assistir. Esse trabalho tem como objetivo propor uma abordagem de Consultas Semânticas no ambiente da TV Digital Interativa baseada nos conceitos e padrões da Web Semântica, especificando uma arquitetura de Serviço Web com o objetivo de prôver um meio de enriquecimento dos metadados vindos da emissora, expandindo as informações e adicionando relacionamentos semânticos em um grafo de dados provenientes da nuvem Linked Data. Um Serviço Web de Consulta Semântica integrado à plataforma Knowledge-TV foi desenvolvido para validar essa abordagem