960 resultados para Problem Detection Study


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Abstract: INTRODUCTION : This study describes the occurrence of trypanosomatids in phlebotomines in Brasília, Brazil. METHODS : Two hundred and ten females of 13 sand fly species were analyzed by polymerase chain reaction (PCR) using different molecular markers (D7 24Sα rRNA, kDNA, and ITS1) and sequencing. RESULTS : PCR revealed trypanosomatid-positive samples from Nyssomyia whitmani and Evandromyia evandroi, which were negative by kDNA and ITS1 Leishmania-specific PCRs. DNA sequence analysis of D7 24Sα rRNA amplicons indicated the occurrence of Blastocrithidia sp. and Trypanosoma sp. in Nyssomyia whitmani and Evandromyia evandroi, respectively. CONCLUSIONS : Two trypanosomatid species other than Leishmania sp. were found to circulate in sand flies in Central Brazil.

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Abstract: INTRODUCTION: Geographic information systems (GIS) enable public health data to be analyzed in terms of geographical variability and the relationship between risk factors and diseases. This study discusses the application of the geographic weighted regression (GWR) model to health data to improve the understanding of spatially varying social and clinical factors that potentially impact leprosy prevalence. METHODS: This ecological study used data from leprosy case records from 1998-2006, aggregated by neighborhood in the Duque de Caxias municipality in the State of Rio de Janeiro, Brazil. In the GWR model, the associations between the log of the leprosy detection rate and social and clinical factors were analyzed. RESULTS: Maps of the estimated coefficients by neighborhood confirmed the heterogeneous spatial relationships between the leprosy detection rates and the predictors. The proportion of households with piped water was associated with higher detection rates, mainly in the northeast of the municipality. Indeterminate forms were strongly associated with higher detections rates in the south, where access to health services was more established. CONCLUSIONS: GWR proved a useful tool for epidemiological analysis of leprosy in a local area, such as Duque de Caxias. Epidemiological analysis using the maps of the GWR model offered the advantage of visualizing the problem in sub-regions and identifying any spatial dependence in the local study area.

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Prostate cancer (PCa) is the most common form of cancer in men, in Europe (World Health Organization data). The most recent statistics, in Portuguese territory, confirm this scenario, which states that about 50% of Portuguese men may suffer from prostate cancer and 15% of these will die from this condition. Its early detection is therefore fundamental. This is currently being done by Prostate Specific Antigen (PSA) screening in urine but false positive and negative results are quite often obtained and many patients are sent to unnecessary biopsy procedures. This early detection protocol may be improved, by the development of point-of-care cancer detection devices, not only to PSA but also to other biomarkers recently identified. Thus, the present work aims to screen several biomarkers in cultured human prostate cell lines, serum and urine samples, developing low cost sensors based on new synthetic biomaterials. Biomarkers considered in this study are the following: prostate specific antigen (PSA), annexin A3 (ANXA3), microseminoprotein-beta (MSMB) and sarcosine (SAR). The biomarker recognition may occurs by means of molecularly imprinted polymers (MIP), which are a kind of plastic antibodies, and enzymatic approaches. The growth of a rigid polymer, chemically stable, using the biomarker as a template allows the synthesis of the plastic antibody. MIPs show high sensitivity/selectivity and present much longer stability and much lower price than natural antibodies. This nanostructured material was prepared on a carbon solid. The interaction between the biomarker and the sensing-material produces electrical signals generating quantitative or semi-quantitative data. These devices allow inexpensive and portable detection in point-of-care testing.

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Rheumatic fever is still the most commonly seen rheumatic disease in Brazilian pediatric rheumatology clinics. It remains a significant health problem since subsequent cardiac sequelae represent one of the most important causes of chronic heart disease in children. We reviewed the clinical manifestations of rheumatic fever in 786 patients, followed at seven pediatric rheumatology clinics in the state of São Paulo, Brazil. All patients were diagnosed according to revised Jones' criteria. Regarding major criteria, 396 (50.4%) children exhibited carditis, 453 (57.6%) polyarthritis, 274 (34.8%) chorea, 13 (1.6%) erythema marginatum, and 12 (1.5%) subcutaneous nodules. Valvular lesions documented by echocardiography in the absence of accompanying auscultatory findings were found in 144 (18.3%) patients. Migratory polyarthritis was observed in 290 (64.0%) patients with articular involvement. Documented previous streptococcal infection assessed by serum antistreptolysin (ASO) titers occurred in 531 (67.5%) patients. Even though prophylaxis with benzathine penicillin was recommended to all patients, recurrent attacks were observed in 147 (18.7%). We emphasize the high frequency of chorea, silent carditis and recurrences in our series as well as the variable clinical presentation of arthritis in rheumatic fever. Multicenter studies should be encouraged to improve our understanding of the clinical features of rheumatic diseases in children and adolescents.

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Conventional molecular techniques for detection and characterization of relevant nucleic acid (i.e. DNA) sequences are, nowadays, cumbersome, expensive and with reduced portability. The main objective of this dissertation consisted in the optimization and validation of a fast and low-cost colorimetric nanodiagnostic methodology for the detection of single nucleotide polymorphisms (SNPs). This was done considering SNPs associated to obesity of commercial interest for STAB VIDA, and subsequent evaluation of other clinically relevant targets. Also, integration of this methodology into a microfluidic platform envisaging portability and application on points-of-care (POC) was achieved. To warrant success in pursuing these objectives, the experimental work was divided in four sections: i) genetic association of SNPs to obesity in the Portuguese population; ii) optimization and validation of the non-cross-linking approach for complete genotype characterization of these SNPs; iii) incorporation into a microfluidic platform; and iv) translation to other relevant commercial targets. FTO dbSNP rs#:9939609 carriers had higher body mass index (BMI), total body fat mass, waist perimeter and 2.5 times higher risk to obesity. AuNPs functionalized with thiolated oligonucleotides (Au-nanoprobes) were used via the non-cross-linking to validate a diagnostics approach against the gold standard technique - Sanger Sequencing - with high levels of sensitivity (87.50%) and specificity (91.67%). A proof-of-concept POC microfluidic device was assembled towards incorporation of the molecular detection strategy. In conclusion a successful framework was developed and validated for the detection of SNPs with commercial interest for STAB VIDA, towards future translation into a POC device.

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RESUMO: Nos países desenvolvidos a lombalgia é a condição músculo-­‐esquelética mais prevalente. Quando evolui para um quadro crónico é responsável por um encargo económico bastante considerável, não só em relação aos indivíduos, mas também para a sociedade. A lombalgia crónica é por isso uma das principais causas de perda de produtividade e de perda de independência económica, nomeadamente através do absenteísmo (ausência do trabalho), do presenteísmo (perda de produtividade no trabalho, devido à capacidade diminuída provocada pela lombalgia) e da incapacidade para trabalhar (invalidez permanente, total ou parcial). Até à data, em Portugal, a prevalência e carga social da lombalgia crónica eram desconhecidas. Até agora não existiam estudos populacionais de grande dimensão sobre este tema. O objetivo principal desta tese foi determinar a prevalência de lombalgia crónica, e também avaliar a carga social que esta tem na população adulta Portuguesa. O trabalho de investigação foi desenvolvido no âmbito do Estudo Epidemiológico de Doenças Reumáticas em Portugal (EpiReumaPt). Este foi o primeiro estudo de larga escala e de base populacional, que determinou a prevalência de doenças reumáticas e músculo-­‐ esqueléticas na população adulta portuguesa. Foi realizado numa amostra aleatória e representativa, de 10.661 indivíduos do Continente, da Região Autónoma dos Açores e da Região Autónoma da Madeira, entre Setembro de 2011 e Dezembro de 2013. Esta tese foi dividida em duas secções. A primeira secção incluiu o detalhe das questões relativas ao desenvolvimento e gestão do EpiReumaPt, constituindo-­‐se como um guia prático sobre como realizar um estudo de base populacional de larga escala, em Portugal. A metodologia detalhada do EpiReumaPt foi também descrita nesta secção e incluiu os objectivos, o desenho do estudo, as características de recrutamento e a preparação de dados para análise. Nesta secção foram ainda descritos os principais resultados do EpiReumaPt. Estes evidenciaram que a lombalgia foi a condição músculo-­‐esquelética com maior prevalência na população adulta portuguesa.A segunda secção desta tese estimou a prevalência da lombalgia crónica ativa na população adulta Portuguesa, e avaliou a carga social esta condição. A lombalgia ativa foi definida com base na dor auto-­‐relatada no dia da entrevista e que persistia há pelo menos 90 dias (independentemente da causa). A lombalgia foi definida como dor na área definida entre a margem inferior das décimas segundas costelas até às pregas glúteas inferiores, com ou sem dor nos membros inferiores. A carga social foi medida tendo em conta os seguintes parâmetros: qualidade de vida, função, consumo de recursos de saúde, consumo de analgésicos e outros fármacos usados no alívio da dor, sintomas de ansiedade e sintomas de depressão. Os resultados mostraram que o consumo de recursos em saúde e a carga social da lombalgia crónica na população adulta Português é significativa. Também a incapacidade causada pela lombalgia crónica,nos indivíduos com idade ativa, é responsável por elevadas taxas de absenteísmo e má qualidade de vida, aos quais acresce o consequente ónus socioeconómico. Esta tese também concluiu que o consumo de analgésicos e outros medicamentos para alívio da dor, na população adulta portuguesa com lombalgia crónica ativa, é relativamente baixa. A maioria destes indivíduos não tomava nenhum medicamento analgésico, independentemente da intensidade da dor. Mesmo os indivíduos que reportaram dor intensa, apenas 4.0% estavam no primeiro degrau da escada analgésica da Organização Mundial de Saúde; 2.3% usavam opióides fracos e 0.03% usavam opióides fortes para controlar a dor (segundo e terceiro degrau da escada analgésica da Organização Mundial da Saúde). O trabalho de investigação também confirmou que a prevalência de sintomas de ansiedade e depressão entre os indivíduos adultos portugueses com lombalgia crónica ativa é elevada. Nestes indivíduos, registou-­‐se um consumo mais elevado de analgésicos e outros medicamentos para alívio da dor, quando comparados com os indivíduos com lombalgia crónica activa sem esses sintomas psicológicos. Os grupos terapêuticos mais utilizados foram os ansiolíticos, sedativos e hipnóticos, os antidepressivos e os anti-­‐inflamatórios não esteróides. A intensidade média da dor reportada foi também maior entre os indivíduos com lombalgia ativa e sintomas de ansiedade e/ou depressão. Também nestes, foi reportada pior função e pior estado de saúde. Em relação ao consumo de recursos de saúde foram encontradas diferenças significativas entre as duas populações: os indivíduos com lombalgia ativa e sintomas psicológicos concomitantes registaram maior número de consultas de psiquiatria de outras especialidades médicas, assim como precisaram de mais apoio domiciliário nos 12 meses prévios à entrevista do EpiReumaPt. Foram também identificados os fatores associados a sintomas isolados de ansiedade, a sintomas isolados de depressão e a sintomas de ansiedade e depressão. Resumindo,esta tese permitiu concluir que a lombalgia crónica é um problema de saúde comum na população adulta portuguesa, contribuindo para um elevado grau de incapacidade e que consequentemente afeta o desempenho laboral e o bem-­‐estar dos indivíduos. A lombalgia crónica é também responsável por um consumo considerável de recursos de saúde. Acresce ainda que os sintomas de ansiedade e depressão são comuns, entre os indivíduos com lombalgia crónica, contribuindo com uma carga social adicional.---------------------------------- ABSTRACT:Low Back Pain(LBP) is the most prevalent of musculoskeletal condition in developed countries.When it becomes chronic, LBP causesan enormous economic burden on individuals and society -­‐ it is one of the leading causes of loss of productivity and economic independence through absenteeism (time off work), presenteeism (lost productivity because of diminished capacity while at work) and work disability (permanent, partial or complete disablement for work purposes). In Portugal the prevalence and burden of LBP and chronic LBP (CLBP) were poorly defined. Until now no large population-­‐based studies have focused on this. The main aim of this thesis was to determine the prevalence of LBP and CLBP, and also to assess the burden of CLBP in the adult rtuguese population. The research work was developed under the scope of EpiReumaPt (the Portuguese Epidemiologic Study of Rheumatic Diseases). EpiReumaPt was the first national large population-­‐based and prevalence study of rheumatic and musculoskeletal diseases (RMD). It was performed among a randomized and representative sample of 10,661 adult Portuguese subjects recruited in Mainland, Azores and Madeira Islands, from September 2011 to December 2013. The first section of this thesis included detailed issues regarding the development and management of EpiReumaPt, and provided a practical guide on how to set-­‐up a large population-­‐based study in Portugal. The detailed methodology of EpiReumaPt, including its objectives,study design,recruitment features,and data preparation for analyses were also described. The main results from EpiReumaPt study were provided in this section and showed that LBP was the musculoskeletal condition with highest prevalence among Portuguese population. The second section of this thesis estimated the prevalence of active CLBP among adult Portuguese population, and assessed the social burden of this condition. Active CLBP was defined based on self-­‐reported pain on the day of the interview, and for most of the time for at least 90 days (independently from cause). LBP was defined as pain in the back area from the lower margin of the twelfth ribs to he lower gluteal folds, with or without pain referred to the lower limbs. Social burden was measured taking into account the following outcomes: quality of life, function, healthcare resources consumption, analgesic and other pain relief drugs intake, anxiety and depression symptoms. Results showed that the healthcare consumption and social burden of CLBP among adult Portuguese population were enormous, and the disability caused by CLBP among subjects in a working age provides high rates of absenteeism (work loss) and poor quality of life, with a consequent socioeconomic burden. This thesis also concluded that analgesic and other pain relief drugs untake among adult Portuguese population with active CLBP was very low. Most of the subjects with active CLBP did not take any analgesic drug regardless pain severity. Even when subjects self-­‐reported severe pain, only 24.0% were in the 1st step of the analgesic ladder,2.3% used weak analgesic opioids and 0.03% used strong opioids (2nd and 3rd step of WHO analgesic ladder, respectively) to control pain . The research work also confirmed that the prevalence of anxiety and depression symptoms among adult Portuguese subjects with active CLBP was high. Regarding pharmacological therapy, the intake of analgesic and other pain relief drugs was higher among subjects with anxiety and/or depression symptoms, when compared with subjects without these psychological symptoms. Anxiolytics, sedatives and hypnotics, antidepressants and NSAIDs intake had higher usage rates among these subjects. The pain severity mean was also higher among this subjects and function and health status was worse. Regarding healthcare resources consumption,significant differences between the two populations were found. Subjects with ctive CLBP and concomitant psychological symptoms had a higher number of psychiatrist and other physician visits. They also needed more home care in the previous 12 months. Factors associated with isolated symptoms of anxiety, depression,and concomitant anxiety and depression symptoms were also identified. Summarizing, we concluded that CLBP is a common health problem among adult Portuguese population contributing to disability and affecting labor performance, and the well being of subjects. it is also responsible for considerable healthcare resource consumption. Anxiety and depression symptoms are common among subjects with CLBP and provided an additional burden among them.

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If widespread deforestation in Amazon results in reduced evaporative water flux, then either a decrease in evaporation is compensated locally by reduced rainfall,or else changed moisture balance expresses itself downwind in the yet undisturbed forest. The question of where rain will occur is crucial. It is suggested that the appearance of clouds and the occurrence of rainout is governed primarily by the interplay of local meteorologic and physical geography parameters with the atmospheric stability structure except for a few well-defined periods when rain is dominated by large scale atmospheric instability. This means that the study of these phenomena (local heat balances,studies on cloud formation mechanism, vertical atmospheric stability, etc.) must be made on the scale of the cloud size, a few tens of kilometers at most.

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RESUMO - Enquadramento: A infeção por Chlamydia trachomatis (CT) é considerada um grave problema de Saúde Pública. É causa de infeções sintomáticas tanto no homem como na mulher, bem como, de infeções assintomáticas que podem ter consequências muito graves a longo prazo. A presença de CT sem tratamento aumenta o risco de transmissão do vírus da imunodeficiência humana. Existem vários estudos publicados de prevalência da CT por todo o mundo, no entanto, estudos de prevalência da CT em populações assintomáticas, envolvendo homens que fazem sexo com homens (HSH) são raros na Europa. Assim, o presente estudo, ao estimar a prevalência e ao descrever as caraterísticas epidemiológicas e de conduta dos HSH, pretende contribuir para o plano de ação contra as IST´s e VIH na Catalunha, através de estratégias concretas para deteção e prevenção da CT. Métodos: Trata-se de um estudo observacional, transversal de prevalência da CT em HSH utentes de um serviço comunitário em Barcelona, com recurso a técnicas de diagnóstico de biologia molecular e a um questionário. Durante Março e Junho de 2015, foram recrutados 200 voluntários de um serviço comunitário em Barcelona que foram testados para CT e NG em três locais anatómicos através de uma PCR em tempo real utilizando o ensaio Anyplex™ CT/NG Real-time Detection. Resultados: O presente estudo permitiu uma caraterização da situação atual quanto á prevalência e aos fatores de risco associados á infeção por CT em HSH. A prevalência nesta população específica foi de 12,6% e os fatores risco associados foram o facto de serem VIH e praticarem sexo anal insertivo/recetivo com parceiro estável. Conclusões: Os resultados obtidos reforçam a necessidade do desenvolvimento de estratégias adequadas de controlo e prevenção da CT nesta população de risco, tais como: rastreios frequentes e tratamento dos casos positivos para quebrar a cadeia de transmissão, promoção da saúde, educação e notificação dos parceiros sexuais. Também demonstram a importância destes rastreios nos três locais anatómicos: uretra, reto e faringe.

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Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

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Loneliness and isolation among the elderly is an enormous problem in Portugal. Interventions to tackle loneliness worldwide have had limited success, and new approaches are needed. Shared Lives is an adult foster placement service in the UK that shows significant promise in tackling both loneliness, isolation and other societal challenges linked with ageing. This feasibility study suggests that replicating a Shared Lives service in Portugal, using a Social Impact Bond (SIB), is viable and likely to create both social and financial value for all stakeholders involved. This study provides recommendations for how a Shared Lives SIB could be designed and implemented.

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This chapter aims at developing a taxonomic framework to classify the studies on the flexible job shop scheduling problem (FJSP). The FJSP is a generalization of the classical job shop scheduling problem (JSP), which is one of the oldest NP-hard problems. Although various solution methodologies have been developed to obtain good solutions in reasonable time for FSJPs with different objective functions and constraints, no study which systematically reviews the FJSP literature has been encountered. In the proposed taxonomy, the type of study, type of problem, objective, methodology, data characteristics, and benchmarking are the main categories. In order to verify the proposed taxonomy, a variety of papers from the literature are classified. Using this classification, several inferences are drawn and gaps in the FJSP literature are specified. With the proposed taxonomy, the aim is to develop a framework for a broad view of the FJSP literature and construct a basis for future studies.

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The use of appropriate acceptance criteria in the risk assessment process for occupational accidents is an important issue but often overlooked in the literature, particularly when new risk assessment methods are proposed and discussed. In most cases, there is no information on how or by whom they were defined, or even how companies can adapt them to their own circumstances. Bearing this in mind, this study analysed the problem of the definition of risk acceptance criteria for occupational settings, defining the quantitative acceptance criteria for the specific case study of the Portuguese furniture industrial sector. The key steps to be considered in formulating acceptance criteria were analysed in the literature review. By applying the identified steps, the acceptance criteria for the furniture industrial sector were then defined. The Cumulative Distribution Function (CDF) for the injury statistics of the industrial sector was identified as the maximum tolerable risk level. The acceptable threshold was defined by adjusting the CDF to the Occupational, Safety & Health (OSH) practitioners’ risk acceptance judgement. Adjustments of acceptance criteria to the companies’ safety cultures were exemplified by adjusting the Burr distribution parameters. An example of a risk matrix was also used to demonstrate the integration of the defined acceptance criteria into a risk metric. This work has provided substantial contributions to the issue of acceptance criteria for occupational accidents, which may be useful in overcoming the practical difficulties faced by authorities, companies and experts.

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Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

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Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.

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About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening.