Visualization of spirography-based objective measures in Parkinson's disease

Objective: To investigate whether advanced visualizations of spirography-based objective measures are useful in differentiating drug-related motor dysfunctions between Off and dyskinesia in Parkinson’s disease (PD). Background: During the course of a 3 year longitudinal clinical study, in total 65 patients (43 males and 22 females with mean age of 65) with advanced PD and 10 healthy elderly (HE) subjects (5 males and 5 females with mean age of 61) were assessed. Both patients and HE subjects performed repeated and time-stamped assessments of their objective health indicators using a test battery implemented on a telemetry touch screen handheld computer, in their home environment settings. Among other tasks, the subjects were asked to trace a pre-drawn Archimedes spiral using the dominant hand and repeat the test three times per test occasion. Methods: A web-based framework was developed to enable a visual exploration of relevant spirography-based kinematic features by clinicians so they can in turn evaluate the motor states of the patients i.e. Off and dyskinesia. The system uses different visualization techniques such as time series plots, animation, and interaction and organizes them into different views to aid clinicians in measuring spatial and time-dependent irregularities that could be associated with the motor states. Along with the animation view, the system displays two time series plots for representing drawing speed (blue line) and displacement from ideal trajectory (orange line). The views are coordinated and linked i.e. user interactions in one of the views will be reflected in other views. For instance, when the user points in one of the pixels in the spiral view, the circle size of the underlying pixel increases and a vertical line appears in the time series views to depict the corresponding position. In addition, in order to enable clinicians to observe erratic movements more clearly and thus improve the detection of irregularities, the system displays a color-map which gives an idea of the longevity of the spirography task. Figure 2 shows single randomly selected spirals drawn by a: A) patient who experienced dyskinesias, B) HE subject, and C) patient in Off state. Results: According to a domain expert (DN), the spirals drawn in the Off and dyskinesia motor states are characterized by different spatial and time features. For instance, the spiral shown in Fig. 2A was drawn by a patient who showed symptoms of dyskinesia; the drawing speed was relatively high (cf. blue-colored time series plot and the short timestamp scale in the x axis) and the spatial displacement was high (cf. orange-colored time series plot) associated with smooth deviations as a result of uncontrollable movements. The patient also exhibited low amount of hesitation which could be reflected both in the animation of the spiral as well as time series plots. In contrast, the patient who was in the Off state exhibited different kinematic features, as shown in Fig. 2C. In the case of spirals drawn by a HE subject, there was a great precision during the drawing process as well as unchanging levels of time-dependent features over the test trial, as seen in Fig. 2B. Conclusions: Visualizing spirography-based objective measures enables identification of trends and patterns of drug-related motor dysfunctions at the patient’s individual level. Dynamic access of visualized motor tests may be useful during the evaluation of drug-related complications such as under- and over-medications, providing decision support to clinicians during evaluation of treatment effects as well as improve the quality of life of patients and their caregivers. In future, we plan to evaluate the proposed approach by assessing within- and between-clinician variability in ratings in order to determine its actual usefulness and then use these ratings as target outcomes in supervised machine learning, similarly as it was previously done in the study performed by Memedi et al. (2013).

Shared decision-making in mental health care : a user perspective on decisional needs in community-based services

BACKGROUND: Shared decision-making (SDM) is an emergent research topic in the field of mental health care and is considered to be a central component of a recovery-oriented system. Despite the evidence suggesting the benefits of this change in the power relationship between users and practitioners, the method has not been widely implemented in clinical practice. OBJECTIVE: The objective of this study was to investigate decisional and information needs among users with mental illness as a prerequisite for the development of a decision support tool aimed at supporting SDM in community-based mental health services in Sweden. METHODS: Three semi-structured focus group interviews were conducted with 22 adult users with mental illness. The transcribed interviews were analyzed using a directed content analysis. This method was used to develop an in-depth understanding of the decisional process as well as to validate and conceptually extend Elwyn et al.'s model of SDM. RESULTS: The model Elwyn et al. have created for SDM in somatic care fits well for mental health services, both in terms of process and content. However, the results also suggest an extension of the model because decisions related to mental illness are often complex and involve a number of life domains. Issues related to social context and individual recovery point to the need for a preparation phase focused on establishing cooperation and mutual understanding as well as a clear follow-up phase that allows for feedback and adjustments to the decision-making process. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The current study contributes to a deeper understanding of decisional and information needs among users of community-based mental health services that may reduce barriers to participation in decision-making. The results also shed light on attitudinal, relationship-based, and cognitive factors that are important to consider in adapting SDM in the mental health system.

Using Multi-Objective Optimization To Maximize Multiple Benefits For Sustainable Drainage Design

For many years, drainage design was mainly about providing sufficient network capacity. This traditional approach had been successful with the aid of computer software and technical guidance. However, the drainage design criteria had been evolving due to rapid population growth, urbanisation, climate change and increasing sustainability awareness. Sustainable drainage systems that bring benefits in addition to water management have been recommended as better alternatives to conventional pipes and storages. Although the concepts and good practice guidance had already been communicated to decision makers and public for years, network capacity still remains a key design focus in many circumstances while the additional benefits are generally considered secondary only. Yet, the picture is changing. The industry begins to realise that delivering multiple benefits should be given the top priority while the drainage service can be considered a secondary benefit instead. The shift in focus means the industry has to adapt to new design challenges. New guidance and computer software are needed to assist decision makers. For this purpose, we developed a new decision support system. The system consists of two main components – a multi-criteria evaluation framework for drainage systems and a multi-objective optimisation tool. Users can systematically quantify the performance, life-cycle costs and benefits of different drainage systems using the evaluation framework. The optimisation tool can assist users to determine combinations of design parameters such as the sizes, order and type of drainage components that maximise multiple benefits. In this paper, we will focus on the optimisation component of the decision support framework. The optimisation problem formation, parameters and general configuration will be discussed. We will also look at the sensitivity of individual variables and the benchmark results obtained using common multi-objective optimisation algorithms. The work described here is the output of an EngD project funded by EPSRC and XP Solutions.

Evaluation Of Reservoir Model Integration With Deterministic And Probabilistic Streamflow Forecasts

Due to the increase in water demand and hydropower energy, it is getting more important to operate hydraulic structures in an efficient manner while sustaining multiple demands. Especially, companies, governmental agencies, consultant offices require effective, practical integrated tools and decision support frameworks to operate reservoirs, cascades of run-of-river plants and related elements such as canals by merging hydrological and reservoir simulation/optimization models with various numerical weather predictions, radar and satellite data. The model performance is highly related with the streamflow forecast, related uncertainty and its consideration in the decision making. While deterministic weather predictions and its corresponding streamflow forecasts directly restrict the manager to single deterministic trajectories, probabilistic forecasts can be a key solution by including uncertainty in flow forecast scenarios for dam operation. The objective of this study is to compare deterministic and probabilistic streamflow forecasts on an earlier developed basin/reservoir model for short term reservoir management. The study is applied to the Yuvacık Reservoir and its upstream basin which is the main water supply of Kocaeli City located in the northwestern part of Turkey. The reservoir represents a typical example by its limited capacity, downstream channel restrictions and high snowmelt potential. Mesoscale Model 5 and Ensemble Prediction System data are used as a main input and the flow forecasts are done for 2012 year using HEC-HMS. Hydrometeorological rule-based reservoir simulation model is accomplished with HEC-ResSim and integrated with forecasts. Since EPS based hydrological model produce a large number of equal probable scenarios, it will indicate how uncertainty spreads in the future. Thus, it will provide risk ranges in terms of spillway discharges and reservoir level for operator when it is compared with deterministic approach. The framework is fully data driven, applicable, useful to the profession and the knowledge can be transferred to other similar reservoir systems.

Optimized Water Demand Management Through Intelligent Sensing And Analytics: The WISDOM Approach

New business and technology platforms are required to sustainably manage urban water resources [1,2]. However, any proposed solutions must be cognisant of security, privacy and other factors that may inhibit adoption and hence impact. The FP7 WISDOM project (funded by the European Commission - GA 619795) aims to achieve a step change in water and energy savings via the integration of innovative Information and Communication Technologies (ICT) frameworks to optimize water distribution networks and to enable change in consumer behavior through innovative demand management and adaptive pricing schemes [1,2,3]. The WISDOM concept centres on the integration of water distribution, sensor monitoring and communication systems coupled with semantic modelling (using ontologies, potentially connected to BIM, to serve as intelligent linkages throughout the entire framework) and control capabilities to provide for near real-time management of urban water resources. Fundamental to this framework are the needs and operational requirements of users and stakeholders at domestic, corporate and city levels and this requires the interoperability of a number of demand and operational models, fed with data from diverse sources such as sensor networks and crowsourced information. This has implications regarding the provenance and trustworthiness of such data and how it can be used in not only the understanding of system and user behaviours, but more importantly in the real-time control of such systems. Adaptive and intelligent analytics will be used to produce decision support systems that will drive the ability to increase the variability of both supply and consumption [3]. This in turn paves the way for adaptive pricing incentives and a greater understanding of the water-energy nexus. This integration is complex and uncertain yet being typical of a cyber-physical system, and its relevance transcends the water resource management domain. The WISDOM framework will be modeled and simulated with initial testing at an experimental facility in France (AQUASIM – a full-scale test-bed facility to study sustainable water management), then deployed and evaluated in in two pilots in Cardiff (UK) and La Spezia (Italy). These demonstrators will evaluate the integrated concept providing insight for wider adoption.

Participação de instituições locais em projetos de revitalização urbana : o caso do Projeto Porto Maravilha na cidade do Rio de Janeiro

Dentro do contexto do desenvolvimento urbano sustentável, diversas metrópoles estão revitalizando áreas centrais degradadas. Regiões portuárias são exemplos de áreas degradadas que têm passado por processos de revitalização. O envolvimento de diferentes atores locais (Poder Público, mercado e sociedade civil) no processo de decisão e também durante a implementação das obras de revitalização deve ser visto como ponto chave na garantia de um processo transparente e particular para cada revitalização executada. Para subsidiar tal abordagem, este trabalho utiliza como referencial teórico a gestão social e seus critérios do processo de discussão, pluralismo e bem-comum para a implementação de políticas públicas, onde a multiplicidade de atores deve participar em igualdade de direitos nos processos decisórios deliberativos na busca do bem-estar social. Na cidade do Rio de Janeiro, em 2009, a instituição por lei da Operação Urbana Consorciada da Área de Especial Interesse Urbanístico da Região Portuária do Rio de Janeiro garante que o projeto de revitalização chamado Porto Maravilha possa ser implementado. Por ser fruto de uma Operação Urbana Consorciada, o projeto deve contar com a participação de proprietários, moradores, usuários e dos investidores para revitalizar uma área de aproximadamente cinco milhões de metros quadrados. Assim, considerada a importância de diferentes atores para garantir um processo decisório legítimo e considerada a obrigatoriedade da participação de diferentes atores na implementação do projeto Porto Maravilha, o objetivo deste trabalho é identificar como as instituições locais participam no Projeto Porto Maravilha. Para tanto, realizou-se pesquisa de campo por meio da participação em reuniões das instâncias participativas na região portuária, da aplicação de questionários às instituições locais e da realização de entrevistas semiestruturadas com representantes das instituições locais e outros atores envolvidos com o projeto. Para o tratamento dos dados obtidos utilizou-se o método da análise de conteúdo com grade mista, cujas categorias definidas foram relacionadas com os critérios do processo de discussão, pluralismo e bem-comum da gestão social e um tratamento estatístico para a elaboração de uma matriz que permitiu relacionar o grau de participação e a posição das instituições locais frente ao projeto. Para o tratamento final, a triangulação metodológica foi utilizada e os resultados foram confrontados com o referencial teórico. Os resultados mostraram que a revitalização da região portuária despertou interesse para que instâncias participativas que já existiam na região se reestruturassem e que novas instâncias fossem criadas. Independente de serem a favor ou contra o projeto, há uma mobilização por parte das instituições locais em se envolverem no projeto, embora este não possa se caracterizar como um processo deliberativo de construção conjunta definido a partir de um consenso, pois, as diretrizes gerais do projeto Porto Maravilha foram instituídas por lei. A maioria das instituições locais concorda e participa do acompanhamento e da implementação do projeto por meio do compartilhamento com o Estado da responsabilidade de criar espaços educativos e investir em programas sociais que possam garantir a melhoria das condições de vida da população local.

O gerenciamento de projetos e o planejamento de operações de guerra do Exército brasileiro

A presente pesquisa teve como objetivo verificar como a metodologia de gerenciamento de projetos, preconizada pelo Project Management Institute – PMI poderia contribuir para a modernização da metodologia de planejamento das operações de guerra do Exército Brasileiro. Para tanto, desenvolveu-se um estudo comparativo entre os processos dos grupos de iniciação e de planejamento definidos pelo PMI no seu Guia do Conhecimento em Gerenciamento de Projetos – PMBOK e o processo de planejamento de operações de guerra do Exército Brasileiro denominado Estudo de Situação. O trabalho foi desenvolvido com base em pesquisa bibliográfica e documental que contemplou renomados autores como Kerzner, Cleland, Vargas, Lima, Maximiano, Valeriano, Prado e Xavier, além dos manuais doutrinários do Exército Brasileiro pertinentes ao tema abordado e o próprio PMBOK. Contextualizando o trabalho foi feita a equiparação de uma operação militar de guerra a um projeto civil, e a caracterização do Estudo de Situação como um processo de planejamento e tomada de decisão equivalente ao conjunto de processos dos grupos de iniciação e de planejamento do gerenciamento de projetos. No estudo realizado verificou-se que as áreas de Custos, de Recursos Humanos e de Aquisições, em função das peculiaridades que envolvem uma operação de guerra são tratadas de forma tão diferenciadas do gerenciamento de projetos que não poderiam ser incluídas no estudo. Além disso, pôde-se constatar que o processo de planejamento militar é executado com uma grande parcela de intuição decorrente da aplicação de conhecimento tácito por parte dos seus executantes, o que não ocorre no gerenciamento de projetos onde o uso de um grande número de ferramentas de base lógica e matemática dá ao processo de planejamento dos projetos um maior grau de imparcialidade e precisão. Verificou-se também que o processo de planejamento militar produz um grande número de documentos gráficos que permitem uma “visão gráfica” de várias áreas ou aspectos do problema que, por sua vez, facilitam o uso da intuição na tomada de decisão. Enfim, depois de identificados os processos de gerenciamento de projetos que interessavam ao estudo e as peculiaridades da metodologia de planejamento em uso no Exército Brasileiro, chegou-se a conclusão, como se havia suposto, que a metodologia de gerenciamento de projetos efetivamente possui recursos que podem contribuir para a modernização do processo de planejamento de operações de guerra do Exército Brasileiro denominado Estudo de Situação. Esses recursos estão relacionados na conclusão do trabalho.

Modelo de decisão multicritério para seleções interciclo das universidades novas: estudo na Universidade Federal do Rio Grande do Norte

The discussions wherein develop proposals for university reform in Brazil include, among other things, the conception of the university titled "New University", whose structural origin comes from the bill of higher education reform and unification of the foundations of education European upper (Bologna process). At its core, the Bologna process has imposed a series of transformations, among which, the promotion of mobility, as a stimulus to interinstitutional cooperation to enable an better and bigger qualification of the students. Nevertheless, what we see is that this point is one of the main points made flawed by Brazilian institutions that have adopted this model of higher education. An example is the Bachelor of Science and Technology - BC&T, Federal University of Rio Grande do Norte - UFRN, where there are problems of the internal order, represented by the problem of the reusing of the disciplines, such also of external order, in cases of transfers interinstitutional. Because of this, and knowing that this is a typical problem in which multiple criteria are involved, the aim of this study is to propose a multicriteria model for selection of interciclo of the BC&T of the UFRN which addresses the issue of mobility. For this, this study was of exploratory and study case nature, use as tools of data collection, the bibliographic and documentary research, as well as semi-structured interviews. For the elaboration of the model, were used the five phases most commonly used in the modeling of problems in operational research in a sample of 91 students of BC&T. As a result, we obtained a model that addresses the issue of internal and external mobility of the school and that, moreover, was also more robust and fair than the current model of BC&T and also what is used in other courses of the UFRN, taking into consideration the expected results by the decision makers

Sistema fuzzy para estimativa do bem-estar de matrizes pesadas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sistema integrado para tomada de decisão espacial em situações de derramamento de óleo no litoral norte do Estado do RN

The northern coast of Rio Grande do Norte State (RN) shows areas of Potiguar basin with high activity in petroleum industry. With the goal of avoiding and reducing the accident risks with oil it is necessary to understand the natural vulnerability, mapping natural resources and monitoring the oil spill. The use of computational tools for environmental monitoring makes possible better analyses and decisions in political management of environmental preservation. This work shows a methodology for monitoring of environment impacts, with purpose of avoiding and preserving the sensible areas in oil contact. That methodology consists in developing and embedding an integrated computational system. Such system is composed by a Spatial Decision Support System (SDSS). The SDSS shows a computational infrastructure composed by Web System of Geo-Environmental and Geographic Information - SWIGG , the System of Environmental Sensibility Maps for Oil Spill AutoMSA , and the Basic System of Environmental Hydrodynamic ( SisBAHIA a System of Modeling and Numerical Simulating SMNS). In a scenario of oil spill occurred coastwise of Rio Grande do Norte State s northern coast, the integration of such systems will give support to decision agents for managing of environmental impacts. Such support is supplied through a system of supporting to spatial decisions

A cost optimization-based design of precast concrete floors using genetic algorithms

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Sistema fuzzy de suporte a decisão para aplicação de programa de eficiência energética em serrarias

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Estratégia de otimização para a melhoria da interpretabilidade de redes bayesianas: aplicações em sistemas elétricos de potência

A investigação de métodos, técnicas e ferramentas que possam apoiar os processos decisórios em sistemas elétricos de potência, em seus vários setores, é um tema que tem despertado grande interesse. Esse suporte à decisão pode ser efetivado mediante o emprego de vários tipos de técnicas, com destaque para aquelas baseadas em inteligência computacional, face à grande aderência das mesmas a domínios com incerteza. Nesta tese, são utilizadas as redes Bayesianas para a extração de modelos de conhecimento a partir dos dados oriundos de sistemas elétricos de potência. Além disso, em virtude das demandas destes sistemas e de algumas limitações impostas às inferências em redes bayesianas, é desenvolvido um método original, utilizando algoritmos genéticos, capaz de estender o poder de compreensibilidade dos padrões descobertos por essas redes, por meio de um conjunto de procedimentos de inferência em redes bayesianas para a descoberta de cenários que propiciem a obtenção de um valor meta, considerando a incorporação do conhecimento a priori do especialista, a identificação das variáveis mais influentes para obtenção desses cenários e a busca de cenários ótimos que estabeleçam valores, definidos e ponderados pelo usuário/especialista, para mais de uma variável meta.

Sistema de informação sobre violência urbana (SiViU) como apoio à tomada de decisão em políticas públicas de cidades médias

Pós-graduação em Geografia - IGCE