856 resultados para Industria farmacêutica - Sistemas de recuperação da informação


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Providing information about medication, an essential function of pharmaceutical practice to ensure rational drug use, is an important activity of hospital pharmacy services. The Drug Information Center of Onofre Lopes University Hospital (DIC-HUOL) initiated its activities in 1979 with the first Clinical Pharmacy Service in Brazil. The aim of this study was to assess information provided by DIC-HUOL, describing the profile of passive information offered by the center. A retrospective cross-sectional study was conducted to identify the profile of information requests (IR). One hundred percent of the IR received by the DIC between January 2008 and December 2009 were used. The results were divided by year to determine the influence of the restructuring process that occurred in 2008 and 2009. The study at DIC-HUOL showed a mean of 5.5 IR/month in 2008 and 20.3 IR/month in 2009; the mean of the last year is comparable to that of other Brazilian DIC. Most of the IR were made by medical residents (22.7%) in 2008 and by pharmacists (32.5%) in 2009. The significant use of the DIC by medical residents may be due to its location in a university hospital. The most recurrent types of IR concerned issues related to pathway/mode of administration (16.8%) and drug stability (13.1%) in 2008 and 2009, respectively. Requests were made verbally in 100% of the cases in 2008 and 78.8% in 2009, owing to the fact that most of the DIC users were professionals from the hospital itself. Time elapsed between request and response was not reported in 83.3% and 21.3% of the cases in 2008 and 2009, respectively. The most widely used bibliographic source during the two years was MICROMEDEX®, with 41.9% and 39.2%, respectively. The restructuring process had a positive influence on the DIC-HUOL, exhibiting similar parameters to those of other Brazilian DIC, but some of these parameters must be improved to achieve international standards

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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Praziquantel (PRZ) is the main drug used for treatment of schistosomiasis in Brazil. It is administered by oral rout as tablets. However, has low aqueous solubility which limits this therapeutic success dosage form and availability of liquid forms. The emulsion systems have great potential and represent an interesting strategy to increase the solubility of drugs. The aim of study was the development and characterization of lipid-emulsified liquid systems of the type oil in water (O / W), the base of soybean oil as the internal phase stabilized by surfactants pair Tween® 80 and Span® 80, for improving the phase biopharmaceutical of PRZ. After selecting the best value of Hydrophilic-Lipophilic Balance (HLB = 11), the parameters of the preparation of the formulations were optimized emulsification technique. The emulsions were successfully obtained; the liquid forms provided exhibited Newtonian behavior and an increase in solubility of PRZ higher than 20 times. The accelerated stability study demonstrated the stability of the emulsions and the effect of cosurfactants investigated. The study of the dynamics of interaction between components in the diagram showed pseudoternary phase regions to obtain O/W emulsions, whereas the study of the interaction of the components and their effect on system structure and the efficiency of incorporation of the drug led to systems with an amount of soluble drug even higher (about 1.5%), which demonstrates the potential of this new input mainly for the treatment of schistosomiasis, which resulted in the filing of patent BR 10 2013 0004 55 3

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Os nascimentos ocorridos em uma população consistem em informação de grande valia para diversos estudos e planejamento de políticas públicas. O Sistema de informações sobre Nascidos Vivos (SINASC) representa uma promissora fonte de informação sobre o tema, uma vez que coleta continuamente e no âmbito municipal, dados sobre nascimentos. Tendo em vista a necessidade de avaliação contínua do SINASC e o panorama do declínio da fecundidade no Nordeste, objetivou-se avaliar a qualidade das informações provenientes do SINASC para o Nordeste, estados e microrregiões, nos anos 2000 e 2010, utilizando o Censo Demográfico como informação de referência, avaliando a cobertura do SINASC e identificando níveis e padrões de fecundidade. Pretendeu-se ainda verificar a relação entre os níveis de fecundidade, o grau de cobertura do SINASC e as condições socioeconômicas das microrregiões sintetizadas pelo Índice Social de Desenvolvimento Municipal (ISDM), utilizando-se a análise de cluster, associada à análise de variância (ANOVA) e o teste de Tukey. Por último, analisou-se a incompletude no preenchimento dos campos da Declaração de Nascido Vivo (DNV). De acordo com os resultados, observou-se que houve ampliação da qualidade das informações do SINASC no período estudado, resultando em uma maior aproximação das TFTs oriundas das duas fontes de dados consideradas no estudo. Maranhão e Paraíba foram os estados com maiores ganhos em cobertura das TFTs no período, e os estados do Rio Grande do Norte e Sergipe revelaram um grau de cobertura ligeiramente inferior em 2010 frente aos resultados de 2000, bem como ainda persistem várias microrregiões com TFTs oriundas do SINASC bem abaixo daquelas estimadas pelo Censo. Na verificação da associação entre o ISDM, TFTs e cobertura, a análise de cluster resultou em três agrupamentos, GrISDM A com melhores coberturas, ISDM e mais baixas TFT; GrISDM B , intermediário e GrISDM C com piores coberturas, ISDM e TFT mais altas. Notou-se a evolução das condições socioeconômicas no Nordeste, tendo o GrISDM A passado de 8% do total de microrregiões em 2000 para 37% em 2010. Reiterou-se ainda que quanto melhores as condições socioeconômicas de uma população, menores são as TFTs e melhores as coberturas do SINASC. A análise de variância apontou interações significativas entre o ano estudado versus ISDM (p-valor < 0,016) e o ano versus fonte de informação (p-valor < 0,020), e o teste Tukey apontou que não houve similaridade entre as médias das TFT das fontes Censo versus SINASC no período, fato que aponta para a captação ainda deficiente do SINASC nas microrregiões. O resultado da análise de variância da cobertura do SINASC em relação ao Censo apresentou uma interação significativa entre as variáveis UF versus Ano (p-valor < 0,0001), causada pelos estados que apresentaram queda de cobertura entre 2000 e 2010. Quanto à incompletude dos itens da DNV, evidenciou-se uma melhor coleta no período, embora alguns itens ainda careçam de atenção, como o apgar no 1º e 5º minuto e ocupação da mãe, sendo esta a que apresenta maiores percentuais de informações ignoradas. Destaca-se a possibilidade de preenchimento inconsistente nas variáveis referentes ao histórico de gestações anteriores, com o uso da informação zero inserida no lugar da informação ignorado . Concluiu-se que o SINASC é uma importante base de dados sobre nascimentos e que dispõe de dados confiáveis para o acompanhamento dos nascimentos e de seu panorama epidemiológico no Nordeste brasileiro, embora para alguns estados, assim como para algumas microrregiões, ainda faz-se necessária a ampliação da cobertura do Sistema. As informações constantes na DNV podem servir como embasamento para diversos estudos sobre as condições epidemiológicas dos nascituros e das suas mães, e dos indicadores baseados as informações dos nascimentos

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With the rapid growth of databases of various types (text, multimedia, etc..), There exist a need to propose methods for ordering, access and retrieve data in a simple and fast way. The images databases, in addition to these needs, require a representation of the images so that the semantic content characteristics are considered. Accordingly, several proposals such as the textual annotations based retrieval has been made. In the annotations approach, the recovery is based on the comparison between the textual description that a user can make of images and descriptions of the images stored in database. Among its drawbacks, it is noted that the textual description is very dependent on the observer, in addition to the computational effort required to describe all the images in database. Another approach is the content based image retrieval - CBIR, where each image is represented by low-level features such as: color, shape, texture, etc. In this sense, the results in the area of CBIR has been very promising. However, the representation of the images semantic by low-level features is an open problem. New algorithms for the extraction of features as well as new methods of indexing have been proposed in the literature. However, these algorithms become increasingly complex. So, doing an analysis, it is natural to ask whether there is a relationship between semantics and low-level features extracted in an image? and if there is a relationship, which descriptors better represent the semantic? which leads us to a new question: how to use descriptors to represent the content of the images?. The work presented in this thesis, proposes a method to analyze the relationship between low-level descriptors and semantics in an attempt to answer the questions before. Still, it was observed that there are three possibilities of indexing images: Using composed characteristic vectors, using parallel and independent index structures (for each descriptor or set of them) and using characteristic vectors sorted in sequential order. Thus, the first two forms have been widely studied and applied in literature, but there were no records of the third way has even been explored. So this thesis also proposes to index using a sequential structure of descriptors and also the order of these descriptors should be based on the relationship that exists between each descriptor and semantics of the users. Finally, the proposed index in this thesis revealed better than the traditional approachs and yet, was showed experimentally that the order in this sequence is important and there is a direct relationship between this order and the relationship of low-level descriptors with the semantics of the users

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This work presents a cooperative navigation systemof a humanoid robot and a wheeled robot using visual information, aiming to navigate the non-instrumented humanoid robot using information obtained from the instrumented wheeled robot. Despite the humanoid not having sensors to its navigation, it can be remotely controlled by infra-red signals. Thus, the wheeled robot can control the humanoid positioning itself behind him and, through visual information, find it and navigate it. The location of the wheeled robot is obtained merging information from odometers and from landmarks detection, using the Extended Kalman Filter. The marks are visually detected, and their features are extracted by image processing. Parameters obtained by image processing are directly used in the Extended Kalman Filter. Thus, while the wheeled robot locates and navigates the humanoid, it also simultaneously calculates its own location and maps the environment (SLAM). The navigation is done through heuristic algorithms based on errors between the actual and desired pose for each robot. The main contribution of this work was the implementation of a cooperative navigation system for two robots based on visual information, which can be extended to other robotic applications, as the ability to control robots without interfering on its hardware, or attaching communication devices

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Currently, one of the biggest challenges for the field of data mining is to perform cluster analysis on complex data. Several techniques have been proposed but, in general, they can only achieve good results within specific areas providing no consensus of what would be the best way to group this kind of data. In general, these techniques fail due to non-realistic assumptions about the true probability distribution of the data. Based on this, this thesis proposes a new measure based on Cross Information Potential that uses representative points of the dataset and statistics extracted directly from data to measure the interaction between groups. The proposed approach allows us to use all advantages of this information-theoretic descriptor and solves the limitations imposed on it by its own nature. From this, two cost functions and three algorithms have been proposed to perform cluster analysis. As the use of Information Theory captures the relationship between different patterns, regardless of assumptions about the nature of this relationship, the proposed approach was able to achieve a better performance than the main algorithms in literature. These results apply to the context of synthetic data designed to test the algorithms in specific situations and to real data extracted from problems of different fields

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RFID (Radio Frequency Identification) identifies object by using the radio frequency which is a non-contact automatic identification technique. This technology has shown its powerful practical value and potential in the field of manufacturing, retailing, logistics and hospital automation. Unfortunately, the key problem that impacts the application of RFID system is the security of the information. Recently, researchers have demonstrated solutions to security threats in RFID technology. Among these solutions are several key management protocols. This master dissertations presents a performance evaluation of Neural Cryptography and Diffie-Hellman protocols in RFID systems. For this, we measure the processing time inherent in these protocols. The tests was developed on FPGA (Field-Programmable Gate Array) platform with Nios IIr embedded processor. The research methodology is based on the aggregation of knowledge to development of new RFID systems through a comparative analysis between these two protocols. The main contributions of this work are: performance evaluation of protocols (Diffie-Hellman encryption and Neural) on embedded platform and a survey on RFID security threats. According to the results the Diffie-Hellman key agreement protocol is more suitable for RFID systems

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The sharing of knowledge and integration of data is one of the biggest challenges in health and essential contribution to improve the quality of health care. Since the same person receives care in various health facilities throughout his/her live, that information is distributed in different information systems which run on platforms of heterogeneous hardware and software. This paper proposes a System of Health Information Based on Ontologies (SISOnt) for knowledge sharing and integration of data on health, which allows to infer new information from the heterogeneous databases and knowledge base. For this purpose it was created three ontologies represented by the patterns and concepts proposed by the Semantic Web. The first ontology provides a representation of the concepts of diseases Secretariat of Health Surveillance (SVS) and the others are related to the representation of the concepts of databases of Health Information Systems (SIS), specifically the Information System of Notification of Diseases (SINAN) and the Information System on Mortality (SIM)

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The introduction of new digital services in the cellular networks, in transmission rates each time more raised, has stimulated recent research that comes studying ways to increase the data communication capacity and to reduce the delays in forward and reverse links of third generation WCDMA systems. These studies have resulted in new standards, known as 3.5G, published by 3GPP group, for the evolution of the third generation of the cellular systems. In this Masters Thesis the performance of a 3G WCDMA system, with diverse base stations and thousand of users is developed with assists of the planning tool NPSW. Moreover the performance of the 3.5G techniques hybrid automatic retransmission and multi-user detection with interference cancellation, candidates for enhance the WCDMA uplink capacity, is verified by means of computational simulations in Matlab of the increase of the data communication capacity and the reduction of the delays in the retransmission of packages of information

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E-learning, which refers to the use of Internet-related technologies to improve knowledge and learning, has emerged as a complementary form of education, bringing advantages such as increased accessibility to information, personalized learning, democratization of education and ease of update, distribution and standardization of the content. In this sense, this paper aims to develop a tool, named ISE-SPL, whose purpose is the automatic generation of E-learning systems for medical education, making use of concepts of Software Product Lines. It consists of an innovative methodology for medical education that aims to assist professors of healthcare in their teaching through the use of educational technologies, all based on computing applied to healthcare (Informatics in Health). The tests performed to validate the ISE-SPL were divided into two stages: the first was made by using a software analysis tool similar to ISE-SPL, called SPLOT and the second was performed through usability questionnaires to healthcare professors who used ISESPL. Both tests showed positive results, proving it to be an efficient tool for generation of E-learning software and useful for professors in healthcare

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The structure of Industrial Automation bases on a hierarchical pyramid, where restricted information islands are created. Those information islands are characterized by systems where hardware and software used are proprietors. In other words, they are supplied for just a manufacturer, doing with that customer is entailed to that supplier. That solution causes great damages to companies. Once the connection and integration with other equipments, that are not of own supplier, it is very complicated. Several times it is impossible of being accomplished, because of high cost of solution or for technical incompatibility. This work consists to specify and to implement the visualization module via Web of GERINF. GERINF is a FINEP/CTPetro project that has the objective of developing a software for information management in industrial processes. GERINF is divided in three modules: visualization via Web, compress and storage and communication module. Are presented results of the utilization of a proposed system to information management of a Natural Gas collected Unit of Guamar´e on the PETROBRAS UN-RNCE.

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Attacks to devices connected to networks are one of the main problems related to the confidentiality of sensitive data and the correct functioning of computer systems. In spite of the availability of tools and procedures that harden or prevent the occurrence of security incidents, network devices are successfully attacked using strategies applied in previous events. The lack of knowledge about scenarios in which these attacks occurred effectively contributes to the success of new attacks. The development of a tool that makes this kind of information available is, therefore, of great relevance. This work presents a support system to the management of corporate security for the storage, retrieval and help in constructing attack scenarios and related information. If an incident occurs in a corporation, an expert must access the system to store the specific attack scenario. This scenario, made available through controlled access, must be analyzed so that effective decisions or actions can be taken for similar cases. Besides the strategy used by the attacker, attack scenarios also exacerbate vulnerabilities in devices. The access to this kind of information contributes to an increased security level of a corporation's network devices and a decreased response time to occurring incidents

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This work proposes a collaborative system for marking dangerous points in the transport routes and generation of alerts to drivers. It consisted of a proximity warning system for a danger point that is fed by the driver via a mobile device equipped with GPS. The system will consolidate data provided by several different drivers and generate a set of points common to be used in the warning system. Although the application is designed to protect drivers, the data generated by it can serve as inputs for the responsible to improve signage and recovery of public roads