978 resultados para Matrix support


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Professionals of Family Health Strategy (FHS) work in communities where there are complex medical social problems. These contexts may lead them to psychological suffering, jeopardizing their care for the users, and creating yet another obstacle to the consolidation of FHS as the primary health care model in Brazil. The study investigated the difficulties and coping strategies reported by health professionals of the FHS teams when they face medical social needs of the communities where they work. Focus groups and semi-structured interviews were carried out with 68 professionals of three primary care units in the city of Sao Paulo (Southeastern Brazil). Drug dealing and abuse, alcoholism, depression and domestic violence are the most relevant problems mentioned by the study group. Professionals reported lack of adequate training, work overload, poor working conditions with feelings of professional impotence and frustration. To overcome these difficulties, professionals reported collective strategies, particularly experience sharing during team meetings and matrix support groups. The results indicate that the difficulties may put the professionals in a vulnerable state, similar to the patients they care for. The promotion of specialized and long term support should be reinforced, as well as the interaction with the local network of services and communities leaders. That may help professionals to deal with occupational stress related to medical and social needs present in their routine work; in the end, it may as well contribute to the strengthening of FHS.

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O objetivo do estudo é descrever e analisar as articulações que se realizam entre as equipes da Estratégia Saúde da Família (ESF) e Centro de Atenção Psicossocial Infantojuvenil (CAPSI), tendo em vista as ações voltadas à saúde mental de crianças e adolescentes. Foram realizadas entrevistas semidirigidas com gerentes de cinco CAPSI e 13 Unidades Básicas de Saúde com ESF, de 5 regiões distintas no Município de São Paulo, Brasil, que foram transcritas e analisadas mediante perspectiva hermenêutica. A articulação entre as equipes da ESF e CAPSI se dá prioritariamente por encaminhamento de casos, apoio matricial ou parceria para casos considerados pertinentes ao CAPSI. Falta de recursos humanos, cobrança por produtividade e ausência de capacitação dos profissionais da ESF para trabalhar com saúde mental foram mencionadas como obstáculos para a efetiva articulação entre os serviços. A lógica do encaminhamento e da desresponsabilização, bem como a hegemonia do modelo biomédico e a consequente fragmentação dos cuidados se mostram vigentes no cotidiano dos serviços.

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As mudanças na atenção à saúde mental no município de Fortaleza têm um processo histórico e político recente, comparada a outros municípios cearenses, que no início dos anos 1990 já se lançavam pioneiros no processo. Fortaleza não implementou as mudanças devido aos interesses dos hospitais psiquiátricos, ambulatórios de psiquiatria da rede pública e dificuldade de gestão dos novos dispositivos e equipamentos de saúde mental presentes na Atenção Básica (AB). No município, a reorganização das ações e serviços de saúde mental tem exigido da Rede Básica o enfrentamento do desafio de atender aos problemas de saúde mental com a implementação do Apoio Matricial (ApM). Mediante o contexto, buscou-se avaliar o ApM em saúde mental em Unidades Básicas de Saúde (UBS) e identificar alcances e limites nas Unidades Básicas de Saúde com ApM. O presente estudo utilizou uma abordagem qualitativa, tipo estudo de caso. Foram entrevistados doze profissionais das Equipes de Saúde da Família de quatro UBS com apoio matricial implantado. A análise das informações revela que o acesso, a tomada de decisão, a participação e os desafios da implementação do ApM são elementos que se apresentam de forma dialética frágeis e fortes na reorganização dos serviços e das práticas. A presença do ApM na AB ressalta a proposta de trabalhar saúde mental em rede no município. O processo não está findo. Mobilização, sensibilização e capacitação da AB precisam ser incrementadas constantemente, mas a implementação tem possibilitado, ao serviço e aos profissionais, maior aceitação da saúde mental na AB.

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A partir do redirecionamento do modelo assistencial no Brasil emerge a necessidade de discussão da reinvenção de práticas alinhadas com o cenário de transformações. As práticas agora devem se desenvolver no sentido de superar o isolamento das grades, dos muros e das chaves, do apagamento do sujeito, da supressão de sintomas e das personalidades dos sujeitos em sofrimento psíquico. Diante disso, é que este estudo tem como objetivos avaliar boas práticas em saúde mental na atenção psicossocial no contexto de um município da região Sul do Brasil. Para tanto, organizou-se como uma pesquisa avaliativa construtivista, com enfoque responsivo, a medida que desenvolve um consenso critico entre os grupos de interesse. Está baseada na Avaliação de Quarta Geração, proposta por Guba e Lincoln (2011), que emerge como opção metodológica e se articula com o referencial teórico das \"Boas Práticas em Saúde Mental Comunitária\", proposto por Thornicroft e Tansella (2010). Este é apresentado de modo a identificar boas práticas na saúde mental, com base na articulação de 3 eixos indispensáveis e indissociáveis: a ética, como princípio fundamental que deverá orientar o planejamento, a assistência e a avaliação dos serviços. A evidência deve embasar as intervenções e serviços. E a experiência como uma evidência do que vem sendo produzido nas experiências locais e regionais de organização da rede de serviços. Como resultado do processo as práticas de Acolhimento, Projeto Terapêutico Singular e Transferência de Cuidados emergiram para discussão. O Acolhimento torna-se concreto nas ações da Porta Aberta, e significa escuta qualificada no momento em que a necessidade emerge, além de representar a oferta de atenção de qualidade baseada no processo relacional que fortalece o estabelecimento de vínculos e a construção de projetos de vida. O Projeto Terapêutico Singular apresenta-se como uma boa prática, a medida que é capaz de dar resposta singularizada e individualizada às necessidades do sujeito, de modo a oportunizar como resultado uma pessoa capaz de andar na vida. É definido de forma compartilhada entre equipe, usuário e família, segundo os objetivos terapêuticos para cada sujeito, e utiliza o técnico de referência, as mini equipes, as oficinas terapêuticas, os grupos terapêuticos, as assembleias, enfim, ofertas e propostas que permitem ao sujeito retomar o envolvimento com os espaços da cidade, no caminho da produção de vida. Com relação à Transferência de Cuidados, esta possibilita ao sujeito que vive o processo não só circular em uma rede de serviços, mas, acima de tudo, buscar, com suporte dela, sua emancipação. Para tanto, investe em práticas que estimulem a autonomia dos sujeitos, por meio de instrumentos como o Acompanhamento Terapêutico, Grupo de Apoio à Alta, espaços de decisões e discussões, estímulo à busca e resolução de problemas, atividades de reconhecimento dos espaços da cidade, transporte, cultura e lazer. Além disso, investe nas ações com a Atenção Básica, a partir do Apoio Matricial com processos de formação continuada com as equipes, e mapeamento da situação da saúde mental nos territórios. Ao final deste estudo, é possível concluir que o modelo de atenção psicossocial demonstrou potencialidade de produzir boas práticas na atenção à saúde mental, e que estas tem transformado a vida dos sujeitos em sofrimento psíquico, bem como tem auxiliado no processo de reconquista de espaços sociais

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The National Police for Basic Care (PNAB), regulated by ordinance nº2488 from October 2011, restates the Family Health Strategy (ESF) as a priority to the expansion, consolidation and qualification of basic attention to health matters in Brazil. In order to bring it about, city counsellors along with other federal entities ought to ordinate their work process deepening principals, directions and fundaments of Basic Care (AB). Besides ESF, the new PNAB expatiates on the Family Health Support Centres (NASF), reaffirming their role on broadening the scope of basic care actions and their improvements, ratifying their ability to share knowledge and support Basic Care professionals. All this considered, the purpose of this work is to investigate how NASF is currently structured in João Pessoa and what has been achieved by it on what concerns to mental health. Its main objectives are to analyse the practices of mental health professionals that are part of NASF teams and if they differ from what has been developed by the other members of the teams; to discuss the articulation of NASF in managing mental health measures on what concerns to internal organisatio n and to the city health network; to identify strategies used to organise such measures on mental health in Basic Care. To reach such goals, individual interviews have taken place two city health managers and four of NASF professionals that participated on the Mental Health Office as representatives of their sanitary districts. Also a focal group formed by various supporters of NASF was created, contemplating the diversity of professional categories involved with the teams and sanitary districts. It was possible to identify in NASF, in João Pessoa, an organisation based by the matrix support in which both management and basic care demands reflect a series of actions developed alongside with ESF. Amongst such actions, matrixing, home visits and the Singular Therapeutic Project (PTS) stand out. These activities have been discussed on the focal group and integrate the daily work of all NASF supporters despite their professional categories. NASF presents itself as a powerful strategy to SUS proper qualification and support to strengthen Basic Care and broaden family health teams‟actions.

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In the context of break with psychiatric hospitals, the Brazilian Psychiatric Reform is a historical process of reformulation of knowledge and mental health practices. In this way, the Centers of Support for Family Health (NASF) have been acting in the supply of matrix support in mental health. So, the present research aims to analyze the actions which the NASF is taking for the matrix support in mental health in the city of Natal/RN. This is a kind of research descriptive, exploratory and qualitative. The data collection, was made by a direct observation of the professional pratices and semi-structured interviews with health professionals NASF's. The Data were analyzed according to thematic analysis technique, with the support of the content analysis method, which is a way to investigate clusters of meanings which make up the communication of the investigated object. Three analytical categories were organized by this method, whose titles were inspired in two theories in the health field called “Health to Paidéia” and “Expanded Clinic”. The name of the categories are: 1. “Mental illness in brackets: working dimensions of the Centers of Support for Family Health interfaces with the concrete subject”, which is about the work process of NASF; 2. “Freedom and engagement in the arrangement of matrix support in mental health”, which explore the matrix support limitations in mental health in Natal/RN from the professionals interviewed at the NASF’s; 3. “Between the desire and interest: influence of expert orientation in mental health in Psychosocial Care Network” (RAPS), which is related to matrix support in mental health, as an organizational arrangement responsible to ensure intersectoral and comprehensive care, strategies inside of context of the constitution of RAPS. We can extract and say that the actions of NASF teams in the brazilian city called Natal/RN, still not part of a structured link with health care networks, as happens with the absence of discussions and lack of professionals in the matrix support. In addition, there is a difficulty to do an specialized orientation in mental health because of the lack of human resources in this area and of the insufficient number of the replacement services for psychiatric hospital pratices, bringing up the discussion about the consolidation and expansion of RAPS in fact investigated.

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This paper explores the morphosyntactic features of mixed nominal expressions in a sample of empirical Igbo-English intrasentential codeswitching data (i.e. codeswitching within a bilingual clause) in terms of the Matrix Language Frame (MLF) model. Since both Igbo and English differ in the relative order of head and complement within the nominal argument phrase, the analysed data seem appropriate for testing the veracity of the principal assumption underpinning the MLF model: the notion that the two languages (in our case Igbo and English) participating in codeswitching do not both contribute equally to the morphosyntactic frame of a mixed constituent. As it turns out, the findings provide both empirical and quantitative support for the basic theoretical view that there is a Matrix Language (ML) versus Embedded Language (EL) hierarchy in classic codeswitching as predicted by the MLF model because both Igbo and English do not simultaneously satisfy the roles of the ML in Igbo-English codeswitching.

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This research deals with the deepening and use of an environmental accounting matrix in Emilia-Romagna, RAMEA air emissions (regional NAMEA), carried out by the Regional Environment Agency (Arpa) in an European project. After a depiction of the international context regarding the widespread needing to integrate economic indicators and go beyond conventional reporting system, this study explains the structure, update and development of the tool. The overall aim is to outline the matrix for environmental assessments of regional plans, draw up sustainable reports and monitor effects of regional policies in a sustainable development perspective. The work focused on an application of a Shift-Share model, on the integration with eco-taxes, industrial waste production, energy consumptions, on applications of the extended RAMEA as a policy tool, following Eurostat guidelines. The common thread is the eco-efficiency (economic-environmental efficiency) index. The first part, in English, treats the methodology used to build a more complete tool; in the second part RAMEA has been applied on two regional case studies, in Italian, to support decision makers regarding Strategic Environmental Assessments’ processes (2001/42/EC). The aim is to support an evidence-based policy making by integrating sustainable development concerns at all levels. The first case study regards integrated environmental-economic analyses in support to the SEA of the Regional Waste management plan. For the industrial waste production an extended and updated RAMEA has been developed as a useful policy tool, to help in analysing and monitoring the state of environmental-economic performances. The second case study deals with the environmental report for the SEA of the Regional Program concerning productive activities. RAMEA has been applied aiming to an integrated environmental-economic analysis of the context, to investigate the performances of the regional production chains and to depict and monitor the area where the program should be carried out, from an integrated environmental-economic perspective.

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Brain microvascular endothelium forms an active permeability barrier, the blood-brain barrier (BBB). In neurologic disorders, barrier properties of the BBB are often lost indicating their dependance on molecular cues of the brain microenvironment. In this issue, Osada et al demonstrate that the endothelial extracellular matrix (ECM) provides one of these cues. Their study shows that β1-integrin-mediated adhesion of brain endothelial cells to the surrounding ECM is critical for stabilizing claudin-5 in BBB tight junctions (TJs) and BBB integrity. These observations point to a novel intracellular signaling pathway from β1-integrin/ECM endothelial adhesions to BBB TJs contributing to BBB integrity.

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This paper addresses the modelling and validation of an evolvable hardware architecture which can be mapped on a 2D systolic structure implemented on commercial reconfigurable FPGAs. The adaptation capabilities of the architecture are exercised to validate its evolvability. The underlying proposal is the use of a library of reconfigurable components characterised by their partial bitstreams, which are used by the Evolutionary Algorithm to find a solution to a given task. Evolution of image noise filters is selected as the proof of concept application. Results show that computation speed of the resulting evolved circuit is higher than with the Virtual Reconfigurable Circuits approach, and this can be exploited on the evolution process by using dynamic reconfiguration

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This document provides a review of international and national practices in investment decision support tools in road asset management. Efforts were concentrated on identifying analytic frameworks, evaluation methodologies and criteria adopted by current tools. Emphasis was also given to how current approaches support Triple Bottom Line decision-making. Benefit Cost Analysis and Multiple Criteria Analysis are principle methodologies in supporting decision-making in Road Asset Management. The complexity of the applications shows significant differences in international practices. There is continuing discussion amongst practitioners and researchers regarding to which one is more appropriate in supporting decision-making. It is suggested that the two approaches should be regarded as complementary instead of competitive means. Multiple Criteria Analysis may be particularly helpful in early stages of project development, say strategic planning. Benefit Cost Analysis is used most widely for project prioritisation and selecting the final project from amongst a set of alternatives. Benefit Cost Analysis approach is useful tool for investment decision-making from an economic perspective. An extension of the approach, which includes social and environmental externalities, is currently used in supporting Triple Bottom Line decision-making in the road sector. However, efforts should be given to several issues in the applications. First of all, there is a need to reach a degree of commonality on considering social and environmental externalities, which may be achieved by aggregating the best practices. At different decision-making level, the detail of consideration of the externalities should be different. It is intended to develop a generic framework to coordinate the range of existing practices. The standard framework will also be helpful in reducing double counting, which appears in some current practices. Cautions should also be given to the methods of determining the value of social and environmental externalities. A number of methods, such as market price, resource costs and Willingness to Pay, are found in the review. The use of unreasonable monetisation methods in some cases has discredited Benefit Cost Analysis in the eyes of decision makers and the public. Some social externalities, such as employment and regional economic impacts, are generally omitted in current practices. This is due to the lack of information and credible models. It may be appropriate to consider these externalities in qualitative forms in a Multiple Criteria Analysis. Consensus has been reached in considering noise and air pollution in international practices. However, Australia practices generally omitted these externalities. Equity is an important consideration in Road Asset Management. The considerations are either between regions, or social groups, such as income, age, gender, disable, etc. In current practice, there is not a well developed quantitative measure for equity issues. More research is needed to target this issue. Although Multiple Criteria Analysis has been used for decades, there is not a generally accepted framework in the choice of modelling methods and various externalities. The result is that different analysts are unlikely to reach consistent conclusions about a policy measure. In current practices, some favour using methods which are able to prioritise alternatives, such as Goal Programming, Goal Achievement Matrix, Analytic Hierarchy Process. The others just present various impacts to decision-makers to characterise the projects. Weighting and scoring system are critical in most Multiple Criteria Analysis. However, the processes of assessing weights and scores were criticised as highly arbitrary and subjective. It is essential that the process should be as transparent as possible. Obtaining weights and scores by consulting local communities is a common practice, but is likely to result in bias towards local interests. Interactive approach has the advantage in helping decision-makers elaborating their preferences. However, computation burden may result in lose of interests of decision-makers during the solution process of a large-scale problem, say a large state road network. Current practices tend to use cardinal or ordinal scales in measure in non-monetised externalities. Distorted valuations can occur where variables measured in physical units, are converted to scales. For example, decibels of noise converts to a scale of -4 to +4 with a linear transformation, the difference between 3 and 4 represents a far greater increase in discomfort to people than the increase from 0 to 1. It is suggested to assign different weights to individual score. Due to overlapped goals, the problem of double counting also appears in some of Multiple Criteria Analysis. The situation can be improved by carefully selecting and defining investment goals and criteria. Other issues, such as the treatment of time effect, incorporating risk and uncertainty, have been given scant attention in current practices. This report suggested establishing a common analytic framework to deal with these issues.

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The use of appropriate features to characterize an output class or object is critical for all classification problems. This paper evaluates the capability of several spectral and texture features for object-based vegetation classification at the species level using airborne high resolution multispectral imagery. Image-objects as the basic classification unit were generated through image segmentation. Statistical moments extracted from original spectral bands and vegetation index image are used as feature descriptors for image objects (i.e. tree crowns). Several state-of-art texture descriptors such as Gray-Level Co-Occurrence Matrix (GLCM), Local Binary Patterns (LBP) and its extensions are also extracted for comparison purpose. Support Vector Machine (SVM) is employed for classification in the object-feature space. The experimental results showed that incorporating spectral vegetation indices can improve the classification accuracy and obtained better results than in original spectral bands, and using moments of Ratio Vegetation Index obtained the highest average classification accuracy in our experiment. The experiments also indicate that the spectral moment features also outperform or can at least compare with the state-of-art texture descriptors in terms of classification accuracy.

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Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is performed implicitly, by specifying the inner products between each pair of points in the embedding space. This information is contained in the so-called kernel matrix, a symmetric and positive semidefinite matrix that encodes the relative positions of all points. Specifying this matrix amounts to specifying the geometry of the embedding space and inducing a notion of similarity in the input space - classical model selection problems in machine learning. In this paper we show how the kernel matrix can be learned from data via semidefinite programming (SDP) techniques. When applied to a kernel matrix associated with both training and test data this gives a powerful transductive algorithm -using the labeled part of the data one can learn an embedding also for the unlabeled part. The similarity between test points is inferred from training points and their labels. Importantly, these learning problems are convex, so we obtain a method for learning both the model class and the function without local minima. Furthermore, this approach leads directly to a convex method for learning the 2-norm soft margin parameter in support vector machines, solving an important open problem.

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Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is performed implicitly, by specifying the inner products between each pair of points in the embedding space. This information is contained in the so-called kernel matrix, a symmetric and positive definite matrix that encodes the relative positions of all points. Specifying this matrix amounts to specifying the geometry of the embedding space and inducing a notion of similarity in the input space -- classical model selection problems in machine learning. In this paper we show how the kernel matrix can be learned from data via semi-definite programming (SDP) techniques. When applied to a kernel matrix associated with both training and test data this gives a powerful transductive algorithm -- using the labelled part of the data one can learn an embedding also for the unlabelled part. The similarity between test points is inferred from training points and their labels. Importantly, these learning problems are convex, so we obtain a method for learning both the model class and the function without local minima. Furthermore, this approach leads directly to a convex method to learn the 2-norm soft margin parameter in support vector machines, solving another important open problem. Finally, the novel approach presented in the paper is supported by positive empirical results.

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Unmanned Aircraft Systems (UAS) describe a diverse range of aircraft that are operated without a human pilot on-board. Unmanned aircraft range from small rotorcraft, which can fit in the palm of your hand, through to fixed wing aircraft comparable in size to that of a commercial passenger jet. The absence of a pilot on-board allows these aircraft to be developed with unique performance capabilities facilitating a wide range of applications in surveillance, environmental management, agriculture, defence, and search and rescue. However, regulations relating to the safe design and operation of UAS first need to be developed before the many potential benefits from these applications can be realised. According to the International Civil Aviation Organization (ICAO), a Risk Management Process (RMP) should support all civil aviation policy and rulemaking activities (ICAO 2009). The RMP is described in International standard, ISO 31000:2009 (ISO, 2009a). This standard is intentionally generic and high-level, providing limited guidance on how it can be effectively applied to complex socio-technical decision problems such as the development of regulations for UAS. Through the application of principles and tools drawn from systems philosophy and systems engineering, this thesis explores how the RMP can be effectively applied to support the development of safety regulations for UAS. A sound systems-theoretic foundation for the RMP is presented in this thesis. Using the case-study scenario of a UAS operation over an inhabited area and through the novel application of principles drawn from general systems modelling philosophy, a consolidated framework of the definitions of the concepts of: safe, risk and hazard is made. The framework is novel in that it facilitates the representation of broader subjective factors in an assessment of the safety of a system; describes the issues associated with the specification of a system-boundary; makes explicit the hierarchical nature of the relationship between the concepts and the subsequent constraints that exist between them; and can be evaluated using a range of analytic or deliberative modelling techniques. Following the general sequence of the RMP, the thesis explores the issues associated with the quantified specification of safety criteria for UAS. A novel risk analysis tool is presented. In contrast to existing risk tools, the analysis tool presented in this thesis quantifiably characterises both the societal and individual risk of UAS operations as a function of the flight path of the aircraft. A novel structuring of the risk evaluation and risk treatment decision processes is then proposed. The structuring is achieved through the application of the Decision Support Problem Technique; a modelling approach that has been previously used to effectively model complex engineering design processes and to support decision-making in relation to airspace design. The final contribution made by this thesis is in the development of an airworthiness regulatory framework for civil UAS. A novel "airworthiness certification matrix" is proposed as a basis for the definition of UAS "Part 21" regulations. The outcome airworthiness certification matrix provides a flexible, systematic and justifiable method for promulgating airworthiness regulations for UAS. In addition, an approach for deriving "Part 1309" regulations for UAS is presented. In contrast to existing approaches, the approach presented in this thesis facilitates a traceable and objective tailoring of system-level reliability requirements across the diverse range of UAS operations. The significance of the research contained in this thesis is clearly demonstrated by its practical real world outcomes. Industry regulatory development groups and the Civil Aviation Safety Authority have endorsed the proposed airworthiness certification matrix. The risk models have also been used to support research undertaken by the Australian Department of Defence. Ultimately, it is hoped that the outcomes from this research will play a significant part in the shaping of regulations for civil UAS, here in Australia and around the world.