A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection

Knee osteoarthritis is the most common type of arthritis and a major cause of impaired mobility and disability for the ageing populations. Therefore, due to the increasing prevalence of the malady, it is expected that clinical and scientific practices had to be set in order to detect the problem in its early stages. Thus, this work will be focused on the improvement of methodologies for problem solving aiming at the development of Artificial Intelligence based decision support system to detect knee osteoarthritis. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing that caters for the handling of incomplete, unknown, or even self-contradictory information.

Design and implementation of an optimal motion cueing algorithm for the Stuttgart Driving Simulator

Driving simulators emulate a real vehicle drive in a virtual environment. One of the most challenging problems in this field is to create a simulated drive as real as possible to deceive the driver's senses and cause the believing to be in a real vehicle. This thesis first provides an overview of the Stuttgart driving simulator with a description of the overall system, followed by a theoretical presentation of the commonly used motion cueing algorithms. The second and predominant part of the work presents the implementation of the classical and optimal washout algorithms in a Simulink environment. The project aims to create a new optimal washout algorithm and compare the obtained results with the results of the classical washout. The classical washout algorithm, already implemented in the Stuttgart driving simulator, is the most used in the motion control of the simulator. This classical algorithm is based on a sequence of filters in which each parameter has a clear physical meaning and a unique assignment to a single degree of freedom. However, the effects on human perception are not exploited, and each parameter must be tuned online by an engineer in the control room, depending on the driver's feeling. To overcome this problem and also consider the driver's sensations, the optimal washout motion cueing algorithm was implemented. This optimal control-base algorithm treats motion cueing as a tracking problem, forcing the accelerations perceived in the simulator to track the accelerations that would have been perceived in a real vehicle, by minimizing the perception error within the constraints of the motion platform. The last chapter presents a comparison between the two algorithms, based on the driver's feelings after the test drive. Firstly it was implemented an off-line test with a step signal as an input acceleration to verify the behaviour of the simulator. Secondly, the algorithms were executed in the simulator during a test drive on several tracks.

Design and management of a supply chain: a joint location-inventory problem under uncertainty (Part B)

In recent years, global supply chains have increasingly suffered from reliability issues due to various external and difficult to-manage events. The following paper aims to build an integrated approach for the design of a Supply Chain under the risk of disruption and demand fluctuation. The study is divided in two parts: a mathematical optimization model, to identify the optimal design and assignments customer-facility, and a discrete-events simulation of the resulting network. The first one describes a model in which plant location decisions are influenced by variables such as distance to customers, investments needed to open plants and centralization phenomena that help contain the risk of demand variability (Risk Pooling). The entire model has been built with a proactive approach to manage the risk of disruptions assigning to each customer two types of open facilities: one that will serve it under normal conditions and a back-up facility, which comes into operation when the main facility has failed. The study is conducted on a relatively small number of instances due to the computational complexity, a matheuristic approach can be found in part A of the paper to evaluate the problem with a larger set of players. Once the network is built, a discrete events Supply Chain simulation (SCS) has been implemented to analyze the stock flow within the facilities warehouses, the actual impact of disruptions and the role of the back-up facilities which suffer a great stress on their inventory due to a large increase in demand caused by the disruptions. Therefore, simulation follows a reactive approach, in which customers are redistributed among facilities according to the interruptions that may occur in the system and to the assignments deriving from the design model. Lastly, the most important results of the study will be reported, analyzing the role of lead time in a reactive approach for the occurrence of disruptions and comparing the two models in terms of costs.

Survival Extrapolation In The Presence Of Cause Specific Hazards.

Health economic evaluations require estimates of expected survival from patients receiving different interventions, often over a lifetime. However, data on the patients of interest are typically only available for a much shorter follow-up time, from randomised trials or cohorts. Previous work showed how to use general population mortality to improve extrapolations of the short-term data, assuming a constant additive or multiplicative effect on the hazards for all-cause mortality for study patients relative to the general population. A more plausible assumption may be a constant effect on the hazard for the specific cause of death targeted by the treatments. To address this problem, we use independent parametric survival models for cause-specific mortality among the general population. Because causes of death are unobserved for the patients of interest, a polyhazard model is used to express their all-cause mortality as a sum of latent cause-specific hazards. Assuming proportional cause-specific hazards between the general and study populations then allows us to extrapolate mortality of the patients of interest to the long term. A Bayesian framework is used to jointly model all sources of data. By simulation, we show that ignoring cause-specific hazards leads to biased estimates of mean survival when the proportion of deaths due to the cause of interest changes through time. The methods are applied to an evaluation of implantable cardioverter defibrillators for the prevention of sudden cardiac death among patients with cardiac arrhythmia. After accounting for cause-specific mortality, substantial differences are seen in estimates of life years gained from implantable cardioverter defibrillators.

Desenvolvimento, produção e caracterização de nanocristais de fármacos pouco solúveis

Poorly soluble drugs have low bioavailability, representing a major challenge for the pharmaceutical industry. Processing drugs into the nanosized range changes their physical properties, and these are being used in pharmaceutics to develop innovative formulations known as Nanocrystals. Use of nanocrystals to overcome the problem of low bioavailability, and their production using different techniques such as microfluidization or high pressure homogenization, was reviewed in this paper. Examples of drugs, cosmetics and nutraceutical ingredients were also discussed. These technologies are well established in the pharmaceutical industry and are approved by the Food and Drug Administration.

Futebol para cegos (futebol de cinco) no Brasil : leitura do jogo e estrategias tatico-tecnicas

Universidade Estadual de Campinas . Faculdade de Educação Física

Licenças medicas de professores de educação fisica : expressando especificidades em estudo na Rede Municipal de Ensino, Campinas - SP

Universidade Estadual de Campinas . Faculdade de Educação Física

A recreação/lazer e a educação fisica : a manobra da autenticidade do jogo

Universidade Estadual de Campinas. Faculdade de Educação Física

The academic plagiarism and its punishments - a review

Currently there is an increase in the occurrence of plagiarism in varied types of academic texts. Therefore, in agreement with the Brazilian Coordination of Improvement of Higher Education Personnel (CAPES) policies, Brazilian higher education institutions should establish guidelines for the detection and inhibition of academic plagiarism. However, the notion of plagiarism is extremely complex, since the ability of textual construction acquired during education is also developed using others' words. Thus, it is necessary to better know the concept of plagiarism and its implications, as well as the consequences of plagiarism and the punishments that may result from it. Consequently, rules and policies to be established will be better founded in order to address the problem of plagiarism in academic texts in a comprehensive and consistent way, not only to inhibit plagiarism but also to promote education on how is possible to create texts in an original fashion.

Depressão, antidepressivos e sistema imune: um novo olhar sobre um velho problema

CONTEXTO: A hipótese monoaminérgica da depressão não responde a uma série de questões, tais como "quais as causas dos distúrbios monoaminérgicos?" e "como explicar uma taxa de 30% de refratariedade aos antidepressivos?". Sendo assim, outras teorias têm sido propostas, entre elas, aquelas que enfocam as participações dos sistemas imune e endócrino. OBJETIVOS: Analisar criticamente o papel do sistema de resposta imunoinflamatória na depressão e discutir a interação dos antidepressivos com esse sistema, tanto do ponto de vista básico como clínico. MÉTODOS: Realizou-se pesquisa bibliográfica utilizando-se as bases de dados MedLine e SciELO. RESULTADOS: Pacientes vítimas de estresse crônico e depressão apresentam ativação das respostas imunoinflamatórias e do eixo hipotálamo-hipófise-adrenal, os quais, direta ou indiretamente, influenciam a neurotransmissão. Nesse sentido, a utilização de antidepressivos não apenas aumenta a disponibilidade de neurotransmissores na fenda sináptica, mas também induz mudança do padrão de resposta imune Th1 - pró-inflamatório - para o Th2, que é antiinflamatório. Além disso, sabe-se que pacientes não responsivos aos antidepressivos possuem o sistema imuneinflamatório mais ativo. No entanto, há uma série de dados controversos na literatura, havendo indícios de um perfil imune diferente de acordo com o tipo de depressão. CONCLUSÕES: A compreensão de aspectos neuroimunes presentes na depressão poderia contribuir para um melhor entendimento das bases biológicas desse transtorno e, possivelmente, para novas perspectivas na busca de uma terapêutica mais efetiva.

Crianças com dificuldades motoras: questões para a conceituação do transtorno do desenvolvimento da coordenação

The investigation of the nature of motor difficulties children experiment resulted in the identification of a Developmental Coordination Disorder (DCD). The lack of consensus on the nature and the mechanisms of DCD might not be due to an apparent resilience of the disorder to the scientific enterprise. On the contrary, the present paper has a goal of presenting a thesis according to which the problem resides on the definition of DCD and on the selection of samples in studies that do not distinguish between clinical and research criteria. In conclusion, three steps for characterizing DCD are presented.

Minimal Nielsen Root Classes and Roots of Liftings

Given a continuous map f : K -> M from a 2-dimensional CW complex into a closed surface, the Nielsen root number N(f) and the minimal number of roots mu(f) of f satisfy N(f) <= mu(f). But, there is a number mu(C)(f) associated to each Nielsen root class of f, and an important problem is to know when mu(f) = mu(C)(f)N(f). In addition to investigate this problem, we determine a relationship between mu(f) and mu((f) over tilde), when (f) over tilde f is a lifting of f through a covering space, and we find a connection between this problems, with which we answer several questions related to them when the range of the maps is the projective plane.

PARTITIONED ANALYSIS FOR DIMENSIONALLY-HETEROGENEOUS HYDRAULIC NETWORKS

In this work an iterative strategy is developed to tackle the problem of coupling dimensionally-heterogeneous models in the context of fluid mechanics. The procedure proposed here makes use of a reinterpretation of the original problem as a nonlinear interface problem for which classical nonlinear solvers can be applied. Strong coupling of the partitions is achieved while dealing with different codes for each partition, each code in black-box mode. The main application for which this procedure is envisaged arises when modeling hydraulic networks in which complex and simple subsystems are treated using detailed and simplified models, correspondingly. The potentialities and the performance of the strategy are assessed through several examples involving transient flows and complex network configurations.

Field theory model for dark matter and dark energy in interaction

We propose a field theory model for dark energy and dark matter in interaction. Comparing the classical solutions of the field equations with the observations of the CMB shift parameter, baryonic acoustic oscillations, lookback time, and the Gold supernovae sample, we observe a possible interaction between dark sectors with energy decay from dark energy into dark matter. The observed interaction provides an alleviation to the coincidence problem.

Social interaction as a heuristic for combinatorial optimization problems

We investigate the performance of a variant of Axelrod's model for dissemination of culture-the Adaptive Culture Heuristic (ACH)-on solving an NP-Complete optimization problem, namely, the classification of binary input patterns of size F by a Boolean Binary Perceptron. In this heuristic, N agents, characterized by binary strings of length F which represent possible solutions to the optimization problem, are fixed at the sites of a square lattice and interact with their nearest neighbors only. The interactions are such that the agents' strings (or cultures) become more similar to the low-cost strings of their neighbors resulting in the dissemination of these strings across the lattice. Eventually the dynamics freezes into a homogeneous absorbing configuration in which all agents exhibit identical solutions to the optimization problem. We find through extensive simulations that the probability of finding the optimal solution is a function of the reduced variable F/N(1/4) so that the number of agents must increase with the fourth power of the problem size, N proportional to F(4), to guarantee a fixed probability of success. In this case, we find that the relaxation time to reach an absorbing configuration scales with F(6) which can be interpreted as the overall computational cost of the ACH to find an optimal set of weights for a Boolean binary perceptron, given a fixed probability of success.