Using a problem detection study (PDS) to identify and compare health care provider and consumer views of antihypertensive therapy

The objectives of this study were to ascertain consumer knowledge and behaviour about hypertension and treatment and to compare these with health care providers' perceptions (of 'most' consumers). The design for the study was a problem detection study (PDS): focus groups and then survey. Focus groups and survey participants were convenience samples of consumers, doctors, nurses and pharmacists. The main outcome measures were agreement on a 5-point Likert scale with statements about consumers' knowledge and behaviour about high blood pressure and medication. The survey identified areas of consensus and disagreement between consumers and health providers. While general knowledge and concordance with antihypertensive therapy among consumers was good, consequences such as eye and kidney disease, interactions with herbal medicines, and how to deal with missing a dose were less well known. Side effects were a problem for over one-quarter of participants, and cost was a problem in continuing therapy. Half the consumers had not received sufficient written information. Providers overall disagreed that most consumers have an adequate understanding of the condition. They agreed that most consumers adhere to therapy and can manage medicines; and about their own profession's role in information provision and condition management. Consumers confirmed positive provider behaviour, suggesting opportunities for greater communication between providers about actions taken with their consumers. In conclusion, the PDS methodology was useful in identifying consumer opinions. Differences between consumer and provider responses were marked, with consumers generally rating their knowledge and behaviour above providers' ratings of 'most' consumers. There are clear gaps to be targeted to improve the outcomes of hypertension therapy.

Fluorescence spectroscopy for tongue carcinoma detection: Study in an animal model

Fluorescence diagnosis of malignant lesions has been showed as an attractive optical technique due especially to its real-time response and a more objective and quantitative evaluation. Even though the oral cavity allows a direct examination many lesions are diagnosed when it is already in advanced stage, compromising the patient prognosis. In this study, the fluorescence spectroscopy was used to the detection of chemically induced carcinoma at the lateral border of the tongue in a hamster model. Two excitations wavelengths in visible region were applied: 442 and 532 nm. All the spectra results were analyzed comparing with the histopathological diagnosis. The better results were achieved with the 442 nm laser excitation. The spectra from carcinoma showed new emission bands and these were used to determined different ratios for a quantitative analysis. Using the 625-645 nm fluorescence range under 442 nm excitation (A3 coefficient) the percentage of false negative was of 9.1%, however the false positive percentage was of 18.5%. The 532 nm excitation provided a better normal tissue detection compared to 442 nm excitation. The ideal clinical condition is probably the use of multiple wavelengths excitation for a broader tissue fluorescence investigation.

The waterfront labor problem; a study in decasualization and unemployment insurance

Mode of access: Internet.

The immigration problem; a study of American immigration conditions and needs,

Mode of access: Internet.

The boy problem; a study in social pedagogy.

" A bibliography of books and pamphlets relating to boys and social work with them": p. [189]-198.

PREVALENCE OF CHAGAS DISEASE IN A RURAL AREA IN THE STATE OF CEARA, BRAZIL

SUMMARY Chagas disease is caused by Trypanosoma cruzi and affects about two to three million people in Brazil, still figuring as an important public health problem. A study was conducted in a rural area of the municipality of Limoeiro do Norte - CE, northeastern Brazil, aiming to determine the prevalence of T. cruzi infection. Of the inhabitants, 52% were examined, among whom 2.6% (4/154) were seropositive in at least two serological tests. All seropositive individuals were older than 50 years, farmers, with a low education and a family income of less than three minimum wages. Active surveillance may be an alternative for early detection of this disease.

Production of an affinity-purified antibody against an aldehyde-treated neurofilament protein for use in immunocytochemistry.

Fixation enhances cellular morphology and reduces loss of molecules during tissue processing. Antibodies against fixation-resistant epitopes are very useful, because they allow an immunocytochemical detection in tissue of better preserved morphology. However, fixatives can alter antigenicity and adversely affect the result of immunohistochemical procedures. To address this problem, this study examined the feasibility of generating antibodies to a paraformaldehyde-fixed antigen for use in immunohistochemical procedures. The large subunit of neurofilament proteins was selected for this study. Crude neurofilament proteins were isolated and separated by SDS-polyacrylamide gel electrophoresis. The large subunit of neurofilaments (NF-H) was electroeluted from the electrophoresis gel and exposed to paraformaldehyde, and used for immunization of a rabbit. The rabbit antiserum was affinity purified on CNBr-sepharose immobilized neurofilament proteins. On Western blots, the antibody reacted with the NF-H protein in a phosphorylation-dependent manner. In aldehyde-fixed cerebellum, the antibody strongly stained axons. In contrast, in alcohol-fixed cryostat sections the immunocytochemical detection was substantially reduced. The procedure presented in this study, involving a simple pretreatment of the immunogen, allows for the generation of an antibody that may be used in immunohistochemical studies where localization of the immunogen may be reduced or even lost by aldehyde fixation.

Feasibility Study of Strengthening Existing Single Span Steel Beam Concrete Deck Bridges, June 1961

Iowa has the same problem that confronts most states in the United States: many bridges constructed more than 20 years ago either have deteriorated to the point that they are inadequate for original design loads or have been rendered inadequate by changes in design/maintenance standards or design loads. Inadequate bridges require either strengthening or posting for reduced loads. A sizeable number of single span, composite concrete deck - steel I beam bridges in Iowa currently cannot be rated to carry today's design loads. Various methods for strengthening the unsafe bridges have been proposed and some methods have been tried. No method appears to be as economical and promising as strengthening by post-tensioning of the steel beams. At the time this research study was begun, the feasibility of posttensioning existing composite bridges was unknown. As one would expect, the design of a bridge-strengthening scheme utilizing post-tensioning is quite complex. The design involves composite construction stressed in an abnormal manner (possible tension in the deck slab), consideration of different sizes of exterior and interior beams, cover-plated beams already designed for maximum moment at midspan and at plate cut-off points, complex live load distribution, and distribution of post-tensioningforces and moments among the bridge beams. Although information is available on many of these topics, there is miminal information on several of them and no information available on the total design problem. This study, therefore, is an effort to gather some of the missing information, primarily through testing a half-size bridge model and thus determining the feasibility of strengthening composite bridges by post-tensioning. Based on the results of this study, the authors anticipate that a second phase of the study will be undertaken and directed toward strengthening of one or more prototype bridges in Iowa.

An approach to compatible new buildings in historic urban environments : case study in the Arabian Gulf region

Cette thèse contribue à l'état actuel des connaissances sur la compatibilité des nouveaux bâtiments avec les environnements urbains historiques. Elle suit un mode de présentation classique: Introduction, Revue de Littérature, Méthodologie, Résultats, Discussion et Conclusion. Le problème étudié est le manque d'orientation pour intégrer les processus de développement et de sauvegarde dans les contextes établis. La littérature récente révèle que les règles de préservation, aussi appelées normes et lignes directrices, ne peuvent pas garantir une relation compatible entre une intervention et son milieu. La pensée contemporaine dans le domaine de la conservation et de la gestion du patrimoine invite donc l’exploration d'autres moyens pour lier la nouvelle architecture à l'ancienne. Ainsi, le présent projet de recherche explore une approche alternative aux règles de préservation en vue d’atteindre le but de nouveaux bâtiments compatibles et d’améliorer la prise de décision fondée sur les valeurs. Pour produire des résultats spécifiques et convaincants, un cas a été sélectionné. Celui-ci est une ville dans la région du Golfe Arabe : la Ville de Koweït. Le résultat principal est le développement d’une approche, mise en œuvre en posant des questions approfondies sur le lieu, la conception et la construction des nouveaux bâtiments. Les questions suggérées dans la thèse mettent l’accent sur les valeurs patrimoniales et les choix de conception afin de permettre un changement réfléchi au sein des environnements urbains historiques. Elles aident aussi à évaluer les nouvelles propositions de projets au cas par cas. Pour démontrer comment cette approche pourrait être présentée et utilisée par les requérants et les évaluateurs, un modèle théorique est proposé. Ce modèle a ensuite été discuté avec des professionnels locaux et internationaux qui ont identifié ses forces et ses limites. En conclusion, l’ensemble des résultats montre que la mise à disposition de règles et / ou de questions approfondies n’est pas une solution satisfaisante puisqu’il y a d'autres enjeux importants qui devraient être abordés: comment appliquer l'orientation efficacement une fois qu’elle a été créée, comment développer la compétence liée à la prise de décision fondée sur les valeurs et comment insérer la conservation du patrimoine dans la mentalité du gouvernement local et des communautés. Lorsque ces enjeux seront traités, le patrimoine pourra devenir partie intégrante du processus de planification, ce qui est le but ultime. Enfin, cinq axes de recherche sont recommandés pour poursuivre l’exploration des idées introduites dans cette étude.

Methodology of image analysis for study of the vertisols moisture content

The main problem to study vertical drainage from the moisture distribution, on a vertisol profile, is searching for suitable methods using these procedures. Our aim was to design a digital image processing methodology and its analysis to characterize the moisture content distribution of a vertisol profile. In this research, twelve soil pits were excavated on a ba re Mazic Pellic Vertisols ix of them in May 13/2011 and the rest in May 19 /2011 after a moderate rainfall event. Digital RGB images were taken from each vertisol pit using a Kodak? camera selecting a size of 1600x945 pixels. Each soil image was processed to homogenized brightness and then a spatial filter with several window sizes was applied to select the optimum one. The RGB image obtained were divided in each matrix color selecting the best thresholds for each one, maximum and minimum, to be applied and get a digital binary pattern. This one was analyzed by estimating two fractal scaling exponents box counting dimension D BC) and interface fractal dimension (D) In addition, three pre-fractal scaling coefficients were determinate at maximum resolution: total number of boxes intercepting the foreground pattern (A), fractal lacunarity (?1) and Shannon entropy S1). For all the images processed the spatial filter 9x9 was the optimum based on entropy, cluster and histogram criteria. Thresholds for each color were selected based on bimodal histograms.

Antichagásicos potenciais: síntese e modelagem molecular de híbridos de hidrazonas e liberadores de óxido nítrico

A doença de Chagas é uma parasitose extremamente negligenciada, cujo agente etiológico é o protozoário Trypanosoma cruzi. Atualmente, 21 países da América Latina são considerados regiões endêmicas, onde 75-90 milhões de pessoas estão expostas à infecção, 6-7 milhões estão infectadas e mais de 41 mil novos casos surgem por ano. Entretanto, apenas os fármacos nifurtimox e benznidazol estão disponíveis no mercado. Estes, além da baixa eficácia na fase crônica da parasitose, apresentam diversos efeitos adversos, sendo que no Brasil apenas o benznidazol é utilizado. Este fato mostra a importância de se ampliar o número de fármacos disponíveis e propor quimioterapia mais eficaz para o tratamento da doença de Chagas. Como forma de contribuir para essa busca, este trabalho objetiva a síntese de compostos híbridos bioisostéricos N-acilidrazônicos e sulfonilidrazônicos, contendo grupo liberador de óxido nítrico, com potencial de interação com cisteíno-proteases parasitárias, tais como a cruzaína. Nestes derivados, os grupos liberadores de óxido nítrico utilizados foram os grupos furoxano (contendo substituinte metílico e fenílico) e éster nitrato. Propôs-se a variação de anéis aromáticos substituídos e não-substituídos, com o intuito de avaliar a possível relação estrutura-atividade (REA) desses análogos. Até o momento, somente os compostos da série N-acilidrazônica tiveram avaliação biológica realizada. Os valores de IC50 dos compostos na forma amastigota do parasita variaram entre >100 a 2,88 µM, sendo este último valor comparável ao fármaco de referência. A atividade inibitória frente à cruzaína foi de 25,2 µM a 2,2 µM. Já a liberação de óxido nítrico foi avaliada pelo método indireto de detecção de nitrato e os valores variaram entre 52,0 µM e 4.232,0 µM. Estes são bem inferiores ao composto padrão, além de não se identificar correlação direta entre a atividade biológica e a liberação de NO. Na sequência, os dois compostos mais ativos (6 e 14) foram submetidos a estudos de permeabilidade e de citotoxicidade. O composto 6 foi considerado o de maior permeabilidade segundo o Sistema de Classificação Biofarmacêutica (SCB) e todos os compostos apresentaram a taxa de fluxo menor que 2, indicando a ausência de mecanismo de efluxo. Na avaliação do potencial citotóxico desses compostos em células humanas, o derivado 6 apresentou índice de seletividade superior ao do benznidazol. Em estudos de modelagem molecular usando análise exploratória de dados (HCA e PCA), propriedades estéricas/geométricas e eletrônicas foram consideradas as mais relevantes para a atividade biológica. Além disso, estudos de docking mostraram que a posição do grupo nitro no anel aromático é importante para a interação com a cruzaína. Ademais o composto 6 não provocou mudanças significativas no ciclo celular e na fragmentação de DNA em células humanas, mostrando-se como líder promissor para futuros estudos in vivo. Atividade tripanomicida, citotoxicidade, potencial de liberação de NO e estudos de permeabilidade dos 23 derivados sulfonilidrazônicos e ésteres nitrato estão sendo avaliados.

Convex Optimization Algorithms and Statistical Bounds for Learning Structured Models

Thesis (Ph.D.)--University of Washington, 2016-08

Security and Trust in Distributed Computation

We propose three research problems to explore the relations between trust and security in the setting of distributed computation. In the first problem, we study trust-based adversary detection in distributed consensus computation. The adversaries we consider behave arbitrarily disobeying the consensus protocol. We propose a trust-based consensus algorithm with local and global trust evaluations. The algorithm can be abstracted using a two-layer structure with the top layer running a trust-based consensus algorithm and the bottom layer as a subroutine executing a global trust update scheme. We utilize a set of pre-trusted nodes, headers, to propagate local trust opinions throughout the network. This two-layer framework is flexible in that it can be easily extensible to contain more complicated decision rules, and global trust schemes. The first problem assumes that normal nodes are homogeneous, i.e. it is guaranteed that a normal node always behaves as it is programmed. In the second and third problems however, we assume that nodes are heterogeneous, i.e, given a task, the probability that a node generates a correct answer varies from node to node. The adversaries considered in these two problems are workers from the open crowd who are either investing little efforts in the tasks assigned to them or intentionally give wrong answers to questions. In the second part of the thesis, we consider a typical crowdsourcing task that aggregates input from multiple workers as a problem in information fusion. To cope with the issue of noisy and sometimes malicious input from workers, trust is used to model workers' expertise. In a multi-domain knowledge learning task, however, using scalar-valued trust to model a worker's performance is not sufficient to reflect the worker's trustworthiness in each of the domains. To address this issue, we propose a probabilistic model to jointly infer multi-dimensional trust of workers, multi-domain properties of questions, and true labels of questions. Our model is very flexible and extensible to incorporate metadata associated with questions. To show that, we further propose two extended models, one of which handles input tasks with real-valued features and the other handles tasks with text features by incorporating topic models. Our models can effectively recover trust vectors of workers, which can be very useful in task assignment adaptive to workers' trust in the future. These results can be applied for fusion of information from multiple data sources like sensors, human input, machine learning results, or a hybrid of them. In the second subproblem, we address crowdsourcing with adversaries under logical constraints. We observe that questions are often not independent in real life applications. Instead, there are logical relations between them. Similarly, workers that provide answers are not independent of each other either. Answers given by workers with similar attributes tend to be correlated. Therefore, we propose a novel unified graphical model consisting of two layers. The top layer encodes domain knowledge which allows users to express logical relations using first-order logic rules and the bottom layer encodes a traditional crowdsourcing graphical model. Our model can be seen as a generalized probabilistic soft logic framework that encodes both logical relations and probabilistic dependencies. To solve the collective inference problem efficiently, we have devised a scalable joint inference algorithm based on the alternating direction method of multipliers. The third part of the thesis considers the problem of optimal assignment under budget constraints when workers are unreliable and sometimes malicious. In a real crowdsourcing market, each answer obtained from a worker incurs cost. The cost is associated with both the level of trustworthiness of workers and the difficulty of tasks. Typically, access to expert-level (more trustworthy) workers is more expensive than to average crowd and completion of a challenging task is more costly than a click-away question. In this problem, we address the problem of optimal assignment of heterogeneous tasks to workers of varying trust levels with budget constraints. Specifically, we design a trust-aware task allocation algorithm that takes as inputs the estimated trust of workers and pre-set budget, and outputs the optimal assignment of tasks to workers. We derive the bound of total error probability that relates to budget, trustworthiness of crowds, and costs of obtaining labels from crowds naturally. Higher budget, more trustworthy crowds, and less costly jobs result in a lower theoretical bound. Our allocation scheme does not depend on the specific design of the trust evaluation component. Therefore, it can be combined with generic trust evaluation algorithms.

Student attitudes to plagiarism and collusion within computer science

There is a widespread perception among staff in Computer Science that plagiarism is a major problem particularly in the form of collusion in programming exercises. While departments often make use of electronic detection measures, the time consumed prosecuting plagiarism offences remains a problem. As a result departments continue to seek ways to reduce the amount of plagiarism and collusion that occurs. This paper reports the findings of a questionnaire based study which attempted to assess the students' attitudes to the issues involved in the hope that such an understanding might result in practical measures for minimizing the problem. The study revealed that while students did understand the definition of plagiarism in its most extreme cases they were often confused about less clear-cut situations. Changes in the previous experience of incoming students meeting modules originally designed on the assumption that students already had some programming background and were equipped for self-directed study would also appear to be a contributory factor in the extent of collusion in programming exercises.

Qualidade de vida e ginastica geral : possiveis aproximações

Universidade Estadual de Campinas . Faculdade de Educação Física