972 resultados para User classification
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In the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.
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With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.
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This dissertation presents a solution for environment sensing using sensor fusion techniques and a context/environment classification of the surroundings in a service robot, so it could change his behavior according to the different rea-soning outputs. As an example, if a robot knows he is outdoors, in a field environment, there can be a sandy ground, in which it should slow down. Contrariwise in indoor environments, that situation is statistically unlikely to happen (sandy ground). This simple assumption denotes the importance of context-aware in automated guided vehicles.
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Field lab: Entrepreneurial and innovative ventures
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In this research we conducted a mixed research, using qualitative and quantitative analysis to study the relationship and impact between mobile advertisement and mobile app user acquisition and the conclusions companies can derive from it. Data was gathered from management of mobile advertisement campaigns of a portfolio of three different mobile apps. We found that a number of implications can be extracted from this intersection, namely to product development, internationalisation and management of marketing budget. We propose further research on alternative app users sources, impact of revenue on apps and exploitation of product segments: wearable technology and Internet of Things.
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There has been an increase in the use of telephone-based services and internet throughout the years and, therefore, the Saúde 24 Hotline has become an important service in Portugal. This service aims to screen, counsel and refer the patient in order to avoid unnecessary visits to health institutions and also to indicate the most appropriate resource according to the illness. This work has two different questions: the first one examines the determinants of satisfaction that have more influence on the overall satisfaction of the Saúde 24 Hotline users. The second one aims to analyze if the confidence level of the users is increasing over time, measured by following the recommendation. The first study was conducted on a random sample collected from June to October 2014, which was taken from the User Satisfaction Survey. The second approach includes data from January 2008 to December 2014 from the Clinical Data Base of all users who have called the Hotline. Findings suggest that the majority of users are very satisfied with the service and the variables with more impact on the overall satisfaction are commitment and availability from the nurse, adequacy of call duration and quick identification of the problem. The survey indicates that 94% of respondents follow the recommendation and on average people have called the hotline 3 times in the previous year. The results from the Clinical Database show that people who were recommended to go to the emergency room are more likely to follow the advice than the people who were recommended to book routine appointments
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Aspergillosis is an infection caused by saprophytic fungi of the genus Aspergillus, which typically occurs in immunosuppressed individuals, but has also been reported in immunocompetent patients. The main routes of entry are the respiratory tract, skin, cornea, and ear, and the infection may be localized or disseminated by contiguity or vascular invasion. We report a severe case of rhinosinusitis with cutaneous involvement, caused by invasive aspergillosis, in an immunocompetent user of inhaled cocaine. Invasive aspergillosis related to cocaine abuse has not yet been reported in the literature. After itraconazole treatment and surgical debridement, complete clinical remission was achieved. Nasal reconstruction with a skin graft over a silicone prosthesis resulted in a satisfactory esthetic outcome.
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User-generated advertising changed the world of advertising and changed the strategies used by marketers. Many researchers explored the dimensions of source credibility in traditional media and online advertising. However, little previous research explored the dimensions of source credibility in the context of user-generated advertising. This exploratory study aims to investigate the different dimensions of source credibility in the case of user-generated advertising. More precisely, this study will explore the following factors: (1) objectivity, (2) trustworthiness, (3) expertise, (4) familiarity, (5) attractiveness and (6) frequency. The results suggest that some of the dimensions of source credibility (objectivity, trustworthiness, expertise, familiarity and attractiveness) remain the same in the case of user-generated advertising. Additionally, a new dimension is added to the factors that explain source credibility (reputation). Furthermore, the analysis suggests that the dimension “frequency” is not an explanatory factor of credibility in the case of user-generated advertisement. The study also suggests that companies using user-generated advertisement as part of their overall marketing strategy should focus on objectivity, trustworthiness, expertise, attractiveness and reputation when selecting users that will communicate sponsored user-generated advertisements.
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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 dengue classification proposed by the World Health Organization (WHO) in 2009 is considered more sensitive than the classification proposed by the WHO in 1997. However, no study has assessed the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue. In the present study, we evaluated the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue in Northeast Brazil, where the disease is endemic. METHODS: This retrospective study included 121 autopsied individuals suspected of having dengue in Northeast Brazil during the epidemics of 2011 and 2012. All the autopsied individuals included in this study were confirmed to have dengue based on the findings of laboratory examinations. RESULTS: The median age of the autopsied individuals was 34 years (range, 1 month to 93 years), and 54.5% of the individuals were males. According to the WHO 1997 classification, 9.1% (11/121) of the cases were classified as dengue hemorrhagic fever (DHF) and 3.3% (4/121) as dengue shock syndrome. The remaining 87.6% (106/121) of the cases were classified as dengue with complications. According to the 2009 classification, 100% (121/121) of the cases were classified as severe dengue. The absence of plasma leakage (58.5%) and platelet counts <100,000/mm3 (47.2%) were the most frequent reasons for the inability to classify cases as DHF. CONCLUSIONS: The WHO 2009 classification is more sensitive than the WHO 1997 classification for identifying dengue deaths among autopsied individuals suspected of having dengue.
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Remote sensing - the acquisition of information about an object or phenomenon without making physical contact with the object - is applied in a multitude of different areas, ranging from agriculture, forestry, cartography, hydrology, geology, meteorology, aerial traffic control, among many others. Regarding agriculture, an example of application of this information is regarding crop detection, to monitor existing crops easily and help in the region’s strategic planning. In any of these areas, there is always an ongoing search for better methods that allow us to obtain better results. For over forty years, the Landsat program has utilized satellites to collect spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length. The most recent one was launched on February 11, 2013, having a number of improvements regarding its predecessors. This project aims to compare classification methods in Portugal’s Ribatejo region, specifically regarding crop detection. The state of the art algorithms will be used in this region and their performance will be analyzed.
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Software Product Line (SPL) engineering aims at achieving efficient development of software products in a specific domain. New products are obtained via a process which entails creating a new configuration specifying the desired product’s features. This configuration must necessarily conform to a variability model, that describes the scope of the SPL, or else it is not viable. To ensure this, configuration tools are used that do not allow invalid configurations to be expressed. A different concern, however, is making sure that a product addresses the stakeholders’ needs as best as possible. The stakeholders may not be experts on the domain, so they may have unrealistic expectations. Also, the scope of the SPL is determined not only by the domain but also by limitations of the development platforms. It is therefore possible that the desired set of features goes beyond what is possible to currently create with the SPL. This means that configuration tools should provide support not only for creating valid products, but also for improving satisfaction of user concerns. We address this goal by providing a user-centric configuration process that offers suggestions during the configuration process, based on the use of soft constraints, and identifying and explaining potential conflicts that may arise. Suggestions help mitigating stakeholder uncertainty and poor domain knowledge, by helping them address well known and desirable domain-related concerns. On the other hand, automated conflict identification and explanation helps the stakeholders to understand the trade-offs required for realizing their vision, allowing informed resolution of conflicts. Additionally, we propose a prototype-based approach to configuration, that addresses the order-dependency issues by allowing the complete (or partial) specification of the features in a single step. A subsequent resolution process will then identify possible repairs, or trade-offs, that may be required for viabilization.
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Laggards are the last users to adopt a product. Prior literature on user-led innovation ignores laggards’ impact on innovation. In this paper, we develop the Lag-User Method, through which laggards can generate new ideas. Through six studies with 62 teams in three countries, we apply the method to different technologies and services and present our findings to executives to get managerial insights. Findings reveal that laggards who generate new ideas (lag-users) have different perceptions of user-friendly products and different unfulfilled needs. They prefer simple products. We propose that by involving lag-users in NPD, firms can improve the effectiveness of NPD.
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RESUMO: Este estudo procurou documentar a perspectiva (s) dos utentes de saúde mental e das associações de prestadores de cuidados sobre a prestação, o papel e a contribuição de serviços de saúde mental da comunidade tal como foram percebidos por um número de informadores-chave, incluindo os utentes do serviço mentais e os próprios prestadores de cuidados. O caso específico da Sociedade Saúde Mental do Gana (MEHSOG) foi o foco deste estudo. O modelo foi o de um estudo de caso, utilizando discussões de grupo e entrevistas com informadores-chave como instrumentos de recolha de dados. Estas ferramentas de colheita de dados foram complementadas por observações dos participantes e pela revisão de documentos da MEHSOG e dos vários grupos de apoio da comunidade de auto-ajuda que compõem a associação nacional. O estudo revelou que os utentes dos serviços de saúde mental e seus prestadores de cuidados constituem um importante grupo de partes interessadas na prestação de serviços de saúde mental da comunidade e no desenvolvimento de políticas que tenham em conta as necessidades e os direitos das pessoas com doença mental ou epilepsia. O envolvimento da MEHSOG promove a mobilização de membros e famílias relacionadas com a doença mental de beneficiar de serviços de tratamento bem organizados com um impacto significativo na melhoria da saúde e da participação dos utentes dos serviços e seus prestadores de cuidados primários em processos de tomada de decisão da família e na comunidade processos de desenvolvimento. Os utentes dos serviços por beneficiarem de tratamento, e os prestadores de cuidados primários, por se tornarem mais livres e menos sobrecarregados com a responsabilidade de cuidar, podem passar a envolver-se mais em atividades que melhoramo seu estado, o de suas famílias e das comunidades. A advocacia dos membros da MEHSOG para conseguir que a “Mental Health Bill” se transforme numa Lei foi também um desenvolvimento significativo resultante da participação ativa dos utentes do serviço em chamar a atenção para uma nova e inclusiva legislação de saúde mental para o Gana. Entre os fatores e oportunidades que permitiram aos utentes dos serviços de saúde mental e aos prestadores de cuidados primários de pessoas com doença mental apoiar activamente a prestação de serviços de saúde mental comunitária e o desenvolvimento de políticas conta-se a contribuição da sociedade civil do Gana, particularmente o movimento da deficiência, e os esforços anteriores de ONGs em saúde mental e dos profissionais de saúde mental para ter uma nova lei em saúde mental. Observámos um certo número de desafios e barreiras que actuam de forma a limitar a influência dos utentes dos serviços de saúde mental na provisão da saúde mental comunitária e no desenvolvimento de políticas. Entre elas o estigma social contra a doença mental e pessoas com doença mental ou epilepsia e seus cuidadores primaries é um factor chave. O estigma tem alterado a percepção e as análises do público em geral, especialmente dos profissionais de saúde e das autoridades políticas afetando a priorização dos problemas de saúde mental nas políticas e programas. Outro desafio foi a deficiente infra-estrutura disponível para apoiar serviços de saúde mentais que assegurem aos utentes permanecerem em bom estado de saúde e bem-estar para serem advogados de si próprios. A recomendação do presente estudo é que os movimentos de utentes dos serviços de saúde mental são importantes e que eles precisam de ser apoiados e encorajados a desempenhar o seu papel como pessoas com experiência vivida para contribuir para a organização e prestação de serviços de saúde mental, bem como para a implementação, monitorização e avaliação de políticas e programas. ------------------------------------ ABSTRACT: This study sought to document the perspective(s) of mental health users and care-givers associations in community mental health service provision and their role and contribution as it was perceived by a number of key informants including the mental service users and care-givers themselves. The specific case of the Mental Health Society of Ghana (MEHSOG) was the focus of this study. A case study approach was used to with Focus Group Discussions and Key Informants Interviews being the data collection tools that were used. These data collection tools were complemented by participant observations and review of documents of the MEHSOG and the various community self-help peer support groups that make up the national association. The study revealed that mental health service users and their care-givers constitute an important stakeholder group in community mental health service provision and development of policies that factor in the needs and rights of persons with mental illness or epilepsy. MEHSOG’s involvement in mobilising members and education families to come forward with the relations with mental illness to benefit from treatment services were well made a significant impact in improving the health and participation of service users and their primary carers in family decision-making processes and in community development processes. Service users, on benefiting from treatment, and primary care-givers, on becoming freer and less burdened with the responsibility of care, move on to engage in secure livelihoods activities, which enhanced their status in their families and communities. The advocacy MEHSOG members undertook in getting the mental health Bill become Law was also noted as significant development that was realised as a result of active involvement of service users in calling for a new and inclusive mental health legislation for Ghana. Enabling factors and opportunities that enabled mental health service users and primary care-givers of people with mental illness to actively support community mental health service provision and policy development is with the vibrant civil society presence in Ghana, particularly the disability movement, and earlier efforts by NGOs in mental health in Ghana long-side mental health professionals to have a new law in mental health. A number of challenges were also noted which were found to limit the extent to which mental health service users can be influential in community mental health service provision and policy development. Key among them was the social stigma against mental illness and people with mental illness or epilepsy and their primary carers. Stigma has affected perceptions, analyses of the general public, especially health practitioners and policy authorities that it has affected their prioritisation of mental health issues in policies and programmes. Another challenge was the poor infrastructure available to support enhanced mental health care services that ensure mental health service users remain in a good state of health and wellbeing to advocate for themselves. The recommendation from the study is that mental health service user movements are important and need to be supported and encouraged to play their role as persons with lived experience to inform organisation and provision of mental health services as well as design and implementation, monitoring and evaluation of policies and programes.
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Grasslands in semi-arid regions, like Mongolian steppes, are facing desertification and degradation processes, due to climate change. Mongolia’s main economic activity consists on an extensive livestock production and, therefore, it is a concerning matter for the decision makers. Remote sensing and Geographic Information Systems provide the tools for advanced ecosystem management and have been widely used for monitoring and management of pasture resources. This study investigates which is the higher thematic detail that is possible to achieve through remote sensing, to map the steppe vegetation, using medium resolution earth observation imagery in three districts (soums) of Mongolia: Dzag, Buutsagaan and Khureemaral. After considering different thematic levels of detail for classifying the steppe vegetation, the existent pasture types within the steppe were chosen to be mapped. In order to investigate which combination of data sets yields the best results and which classification algorithm is more suitable for incorporating these data sets, a comparison between different classification methods were tested for the study area. Sixteen classifications were performed using different combinations of estimators, Landsat-8 (spectral bands and Landsat-8 NDVI-derived) and geophysical data (elevation, mean annual precipitation and mean annual temperature) using two classification algorithms, maximum likelihood and decision tree. Results showed that the best performing model was the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), using the decision tree. For maximum likelihood, the model that incorporated Landsat-8 bands with mean annual precipitation (Model 5) and the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), achieved the higher accuracies for this algorithm. The decision tree models consistently outperformed the maximum likelihood ones.