986 resultados para Tool command language
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Herpes simplex virus types 1 and 2 are the main infectious agents associated with oral and genital ulcerations. These infections are now widely recognized as sexually transmitted diseases. Among treatment options, low-level laser therapy (LLLT) has shown promising clinical results as a longer-lasting suppression therapy. Two clinical cases are described with recurrent labial herpes for which LLLT was used. Following treatment, both patients remained symptom free during the 17-month clinical follow-up period.
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RESUMO - Introdução: A Diabetes Mellitus Tipo 2 (DM2) tem uma elevada prevalência em todo o mundo, com impacto significativo a nível de Saúde Pública, na vida dos doentes e nos custos que lhe são associados. O Patiente Activation Measure 13 (PAM13) é um questionário que possibilita a avaliação das crenças, conhecimentos, motivação e capacidades de uma pessoa em relação à sua saúde; pelo que a sua utilização na DM2 é pertinente. Objetivos: Traduzir o PAM 13, versão curta, para Português de Portugal; Estabelecer as propriedades psicométricas da versão Portuguesa do PAM 13 (PAM13-P); Validar a PAM 13-P num grupo de pessoas com DM2. Material e métodos: O processo de tradução e adaptação cultural do questionário foi composto pelas fases: 1-Tradução, 2-Reconciliação e síntese, 3-Back translation, 4-Rever e sintetizar a Back translation, 5-Harmonização, 6-Revisão do comité de peritos, 7-Cognitive debriefing e 8-Avaliação final. Para validar o PAM13-P realizou-se um estudo observacional transversal analítico com uma amostra de conveniência, de pessoas com DM2, seguidas na Associação Protectora dos Diabéticos de Portugal. O questionário foi de autopreenchimento e foi consultado o processo clínico para obtenção da HbA1c. O tratamento estatístico foi realizado através do SPSS 21® e Winsteps v3.8.1®. Resultados e discussão: O processo de tradução e adaptação cultural foi realizado de acordo com as guidelines. Foram realizados 3 painéis de e-Delphi, com 21 participantes de áreas distintas, tendo-se obtido bons níveis de concordância. As principais modificações realizadas ao questionário foram a simplificação da linguagem e dos itens, obtendo-se as equivalências necessárias. O PAM13-P foi aplicado a 201 pessoas, sendo que a taxa de resposta foi de 83%. Na amostra analisada 57.3% eram homens. Obtiveram-se as médias de idade 67.1 anos e de duração de diabetes 17.3 anos. A média do score do PAM foi 58.5±10.1(41.8-90.5) pontos e 49,7% da amostra estava no nível 3 de ativação. Relativamente aos itens verificou-se que os itens mais difíceis foram o 13(56.1) e o 8(55.4) e o com menor dificuldade foi 4(38.5). As categorias de resposta tiveram um bom ajuste ao Modelo de Rasch. O ajustamento dos itens foi infit entre 0.779-1.177 e outfit entre 0.794-1.315. A fiabilidade dos indivíduos variou entre 0.77(real) e 0.83(modelo) e dos itens foi de 0.97 (real e modelo). O Alfa de Cronbach foi bom (α=0.82). Estas estatísticas foram semelhantes aos da validação do PAM13. Existiu uma relação entre o score do PAM e os itens de validação em 51%. Das variáveis analisadas, existia um relação do nível de ativação com a idade e com a HbA1c. Conclusões: O PAM13-P foi traduzido e adaptado culturalmente para Português e foi validado em pessoas com DM2, sendo as propriedades psicométricas boas.
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Nowadays, authentication studies for paintings require a multidisciplinary approach, based on the contribution of visual features analysis but also on characterizations of materials and techniques. Moreover, it is important that the assessment of the authorship of a painting is supported by technical studies of a selected number of original artworks that cover the entire career of an artist. This dissertation is concerned about the work of modernist painter Amadeo de Souza-Cardoso. It is divided in three parts. In the first part, we propose a tool based on image processing that combines information obtained by brushstroke and materials analysis. The resulting tool provides qualitative and quantitative evaluation of the authorship of the paintings; the quantitative element is particularly relevant, as it could be crucial in solving authorship controversies, such as judicial disputes. The brushstroke analysis was performed by combining two algorithms for feature detection, namely Gabor filter and Scale Invariant Feature Transform. Thanks to this combination (and to the use of the Bag-of-Features model), the proposed method shows an accuracy higher than 90% in distinguishing between images of Amadeo’s paintings and images of artworks by other contemporary artists. For the molecular analysis, we implemented a semi-automatic system that uses hyperspectral imaging and elemental analysis. The system provides as output an image that depicts the mapping of the pigments present, together with the areas made using materials not coherent with Amadeo’s palette, if any. This visual output is a simple and effective way of assessing the results of the system. The tool proposed based on the combination of brushstroke and molecular information was tested in twelve paintings obtaining promising results. The second part of the thesis presents a systematic study of four selected paintings made by Amadeo in 1917. Although untitled, three of these paintings are commonly known as BRUT, Entrada and Coty; they are considered as his most successful and genuine works. The materials and techniques of these artworks have never been studied before. The paintings were studied with a multi-analytical approach using micro-Energy Dispersive X-ray Fluorescence spectroscopy, micro-Infrared and Raman Spectroscopy, micro-Spectrofluorimetry and Scanning Electron Microscopy. The characterization of Amadeo’s materials and techniques used on his last paintings, as well as the investigation of some of the conservation problems that affect these paintings, is essential to enrich the knowledge on this artist. Moreover, the study of the materials in the four paintings reveals commonalities between the paintings BRUT and Entrada. This observation is supported also by the analysis of the elements present in a photograph of a collage (conserved at the Art Library of the Calouste Gulbenkian Foundation), the only remaining evidence of a supposed maquete of these paintings. The final part of the thesis describes the application of the image processing tools developed in the first part of the thesis on a set of case studies; this experience demonstrates the potential of the tool to support painting analysis and authentication studies. The brushstroke analysis was used as additional analysis on the evaluation process of four paintings attributed to Amadeo, and the system based on hyperspectral analysis was applied on the painting dated 1917. The case studies therefore serve as a bridge between the first two parts of the dissertation.
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A foremost dispute that persists on the contemporary world’s agenda is change. The on-going social/technological/economic changes create a competitive and challenging environment for companies to endure. To benefit from these changes, world economies partially depend on emerging Small and Medium Enterprises (SMEs) and their adaptability skills, and subsequently the development of an integrated capability to innovate has become the prime strategy for most of SMEs to subsist and grow. However, innovation and change are always somewhat bonded to an inherent risk development, which subsequently brings on the necessity of a revision of risk management approaches in innovative processes, whose importance SMEs tend to disregard. Additionally, little efforts have been made to improve and create empirical models, metrics and tools to assist SMEs managing latent risks in their innovative projects. This work seeks to present and discuss a solution to support SMEs in engaging on systematic risk management practices, which consists on an integrated risk assessment and response support web-based tool - Spotrisk® - designed for SMEs. On the other hand, an inherent subjectivity is linked with risk management and identification processes, due to uncertainty trait of its nature, for each individual perceives situations according to his own idiosyncrasy, which brings complications in normalizing risk profiles and procedures. This essay aims to bring insights concerning the support in decision-making processes under uncertainty, by addressing issues related with the risk behavior character among individuals. To address such issues, subjects of neuroscience or psychology are explored and models to identify such character are proposed, as well as models to improve presented tool. This work attempts to go beyond the restrictive aim of endeavoring on technical improvement dissertation, and in embraces an exploratory conceptualization concerning micro, small and medium businesses’ traits regarding risk characters and project risk assessment tools.
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In this work project we discuss the advantages and disadvantages of social media as a marketing tool. Four international cases were analyzed to provide anecdotal evidence of how social and viral marketing have been used by four firms in very different industries. We reviewed empirical evidence on the topic to discuss the main components of viral marketing. We concluded that positive (electronic) word of mouth, short response time and seeding through high network value customers are the main drivers of the success of a viral marketing campaign. We also conducted a study of the Portuguese telecommunications industry, in particular, the mobile segment. We found that the three main players operating in this market have been using social media successfully as a marketing tool in a strategic approach to the 14-25 years old segment.
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Based on the report for the unit “Foresight Methods Analysis” of the PhD programme on Technology Assessment at the Universidade Nova de Lisboa, under the supervision of Prof. Dr. António B. Moniz
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IntroductionThe diagnosis of schistosomiasis mansoni on early stages of infection is important to prevent late morbidity. A simple, cheap, sensitive and specific assay for routine diagnosis of schistosome infection based on the detection of specific IgG for schistosomula tegument antigens (ELISA-SmTeg) was developed by our group.MethodsWe describe here an acute outbreak involving a travel group of 80 individuals from a non-endemic area of the State of Minas Gerais, Brazil. These individuals were in contact with a freshwater pool where Biomphalaria glabrata was found. Results obtained from our new methodology were compared to IgG antibody titers against soluble worm antigenic preparation (SWAP) by ELISA and, also to parasitological examination, nuclear magnetic resonance and clinical findings.ResultsELISA-SmTeg was capable of detecting 64 positive cases among the 80 individuals participating at the survey with a positivity ratio of 80% and a higher sensitivity than ELISA-SWAP that was only sensitive for 56% of positive cases. Besides, a significant correlation was found for the severity of the infection and the specific IgG titers against SmTeg.ConclusionsOur data showed that ELISA-SmTeg might serve as the initial diagnostic tool for acute stages of the infection in community-based helminth control programs or for the surveillance of individuals from non-endemic areas.
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This research addresses the problem of creating interactive experiences to encourage people to explore spaces. Besides the obvious spaces to visit, such as museums or art galleries, spaces that people visit can be, for example, a supermarket or a restaurant. As technology evolves, people become more demanding in the way they use it and expect better forms of interaction with the space that surrounds them. Interaction with the space allows information to be transmitted to the visitors in a friendly way, leading visitors to explore it and gain knowledge. Systems to provide better experiences while exploring spaces demand hardware and software that is not in the reach of every space owner either because of the cost or inconvenience of the installation, that can damage artefacts or the space environment. We propose a system adaptable to the spaces, that uses a video camera network and a wi-fi network present at the space (or that can be installed) to provide means to support interactive experiences using the visitor’s mobile device. The system is composed of an infrastructure (called vuSpot), a language grammar used to describe interactions at a space (called XploreDescription), a visual tool used to design interactive experiences (called XploreBuilder) and a tool used to create interactive experiences (called urSpace). By using XploreBuilder, a tool built of top of vuSpot, a user with little or no experience in programming can define a space and design interactive experiences. This tool generates a description of the space and of the interactions at that space (that complies with the XploreDescription grammar). These descriptions can be given to urSpace, another tool built of top of vuSpot, that creates the interactive experience application. With this system we explore new forms of interaction and use mobile devices and pico projectors to deliver additional information to the users leading to the creation of interactive experiences. The several components are presented as well as the results of the respective user tests, which were positive. The design and implementation becomes cheaper, faster, more flexible and, since it does not depend on the knowledge of a programming language, accessible for the general public.
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INTRODUCTION: This study aimed to evaluate spasticity in human T-lymphotropic virus type 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) patients before and after physical therapy using the International Classification of Functioning, Disability and Health (ICF). METHODS: Nine subjects underwent physical therapy. Spasticity was evaluated using the Modified Ashworth Scale. The obtained scores were converted into ICF body functions scores. RESULTS: The majority of subjects had a high degree of spasticity in the quadriceps muscles. According to the ICF codes, the spasticity decreased after 20 sessions of physical therapy. CONCLUSIONS: The ICF was effective in evaluating spasticity in HAM/TSP patients.
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Abstract: INTRODUCTION: The World Health Organization endorses the BACTEC Mycobacterial Growth Indicator Tube (MGIT)(tm) system as a rapid, sensitive, and specific method to diagnostic of tuberculosis. Here, we compared the performance of this system against Ogawa-Kudoh cultures and microscopy. METHODS: A total of 927 samples were obtained between December 2011 and December 2013 from 652 cases of suspected tuberculosis at the School Hospital of the Federal University of Rio Grande in Brazil. RESULTS: The MGIT system confirmed tuberculosis in more cases in less time. CONCLUSIONS: The MGIT system is an effective tool for early diagnosis of tuberculosis, especially in patients with HIV/AIDS.
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Notch is a conserved signalling pathway, which plays a crucial role in a multiple cellular processes such as stem cell self-renewal, cell division, proliferation and apoptosis. In mammalian, four Notch receptors and five ligands are described, where interaction is achieved through their extracellular domains, leading to a transcription activation of different target genes. Increased expression of Notch ligands has been detected in several types of cancer, including breast cancer suggesting that these proteins represent possible therapeutic targets. The goal of this work was to generate quality protein targets and, by phage display technology, select function-blocking antibodies specific for Notch ligands. Phage display is a powerful technique that allows the generation of highly specific antibodies to be used for therapeutics, and it has also proved to be a reliable approach in identifying and validating new cancer-related targets. Also, we aimed at solving the tri-dimensional structure of the Notch ligands alone and in complex with selected antibodies. In this work, the initial phase focused on the optimization of the expression and purification of a human Delta-like 1 ligand mutant construct (hDLL1-DE3), by refolding from E. coli inclusion bodies. To confirm the biological activity of the produced recombinant protein cellular functional studies were performed, revealing that treatment with hDLL1-DE3 protein led to a modulation of Notch target genes. In a second stage of this study, Antibody fragments (Fabs) specific for hDLL1-DE3 were generated by phage display, using the produced protein as target, in which one good Fab candidate was selected to determine the best expression conditions. In parallel, multiple crystallization conditions were tested with hDLL1-DE3, but so far none led to positive results.
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The global dynamics of alliances are strongly determined by the level of cooperation among states. This cooperation can be embodied in various aspects, but the level of defense and security cooperation becomes usually more doctrinal and lasting. By the nature of sovereignty that instills in the bilateral relationship, cooperation at defense and security level can leverages other forms of cooperation. The circumstances and relational balance between Brazil and Portugal seem to evolve towards distancing opportunities, despite they are culturally and institutionally untainted. The economic dynamics, the strategic projection in global sustainability terms, the scale and ambition of Brazilian regional leadership, contrasts with the actual context of Portugal, distancing himself both on the stage where they operate. On the other hand, the historical and cultural roots, the language, the affinity of the peoples of CPLP and some opportunities for economic niches, trend to attract both countries. The condition of Portugal in NATO and Europe, coupled with the ability to export technical and human resources to value-added for Brazil, seems also to become approaching factors. On the balance of these dynamics, there is a set of exogenous factors (economic, external global relations matrix, regional stability, among others), which are not always controlled by any of both countries. These factors call for strong capacity for foresight analysis and decision making, with the inherent risk. There is cooperation vectors that are not apparently penalized by geographic distance, or by the difference of realities. Among these vectors we shall highlight synergies in technological niches, highly tradable goods and, mostly, using the domain of dual technologies. The thirteen niches herein identified are: Monitoring, Navigation, Command and Control, Electronics, Optoelectronics, Communication and remote sensing, Information Technologies, Flight Simulation, Specialized Training, Fiber Optic Sensors, Materials Engineering, Nanotechnology and Communications. Cumulating with identified opportunities in traditional relational framework, both countries are growing (in geography and economic terms) into the Atlantic, making it a central element in the bilateral approach. By being at the same time a growing stage of disputes and which stability tends to be threatened, it will be done an analysis of these synergistic vectors, superimposed on the impact on Atlantic securitization process.
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Acioly, A. S. G., Soares, M. M., & Arezes, P. M. (2015). Possible uses of augmented reality as a tool for guidance of users of packages. Paper presented at the Occupational Safety and Hygiene III - Selected Extended and Revised Contributions from the International Symposium on Safety and Hygiene.
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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.
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Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.