Fazer, dançar, de dentro : a fusão entre os processos do fazer e do sentir na prática diária da Técnica de Dança Clássica

Relatório Final de Estágio apresentado à Escola Superior de Dança com vista à obtenção do Grau de Mestre em Ensino de Dança.

HIV/AIDS knowledge among men who have sex with men: applying the item response theory

OBJECTIVE To evaluate the level of HIV/AIDS knowledge among men who have sex with men in Brazil using the latent trait model estimated by Item Response Theory. METHODS Multicenter, cross-sectional study, carried out in ten Brazilian cities between 2008 and 2009. Adult men who have sex with men were recruited (n = 3,746) through Respondent Driven Sampling. HIV/AIDS knowledge was ascertained through ten statements by face-to-face interview and latent scores were obtained through two-parameter logistic modeling (difficulty and discrimination) using Item Response Theory. Differential item functioning was used to examine each item characteristic curve by age and schooling. RESULTS Overall, the HIV/AIDS knowledge scores using Item Response Theory did not exceed 6.0 (scale 0-10), with mean and median values of 5.0 (SD = 0.9) and 5.3, respectively, with 40.7% of the sample with knowledge levels below the average. Some beliefs still exist in this population regarding the transmission of the virus by insect bites, by using public restrooms, and by sharing utensils during meals. With regard to the difficulty and discrimination parameters, eight items were located below the mean of the scale and were considered very easy, and four items presented very low discrimination parameter (< 0.34). The absence of difficult items contributed to the inaccuracy of the measurement of knowledge among those with median level and above. CONCLUSIONS Item Response Theory analysis, which focuses on the individual properties of each item, allows measures to be obtained that do not vary or depend on the questionnaire, which provides better ascertainment and accuracy of knowledge scores. Valid and reliable scales are essential for monitoring HIV/AIDS knowledge among the men who have sex with men population over time and in different geographic regions, and this psychometric model brings this advantage.

Competência intercultural: conteúdos culturais na aquisição da língua estrangeira e sua integração didáctica no ensino do alemão

Dissertação apresentada à Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa para obtenção do grau de Doutor em Cultura Alemã.

CrimsonHex: a service oriented repository of specialised learning objects

The corner stone of the interoperability of eLearning systems is the standard definition of learning objects. Nevertheless, for some domains this standard is insufficient to fully describe all the assets, especially when they are used as input for other eLearning services. On the other hand, a standard definition of learning objects in not enough to ensure interoperability among eLearning systems; they must also use a standard API to exchange learning objects. This paper presents the design and implementation of a service oriented repository of learning objects called crimsonHex. This repository is fully compliant with the existing interoperability standards and supports new definitions of learning objects for specialized domains. We illustrate this feature with the definition of programming problems as learning objects and its validation by the repository. This repository is also prepared to store usage data on learning objects to tailor the presentation order and adapt it to learner profiles.

Interoperability in pedagogical e-learning services

The ultimate goal of this research plan is to improve the learning experience of students through the combination of pedagogical eLearning services. Service oriented architectures are already being used in eLearning but in this work the focus is on services of pedagogical value, rather then on generic services adapted from other business systems. This approach to the architecture of eLearning platforms raises challenges addressed by this work, namely: conceptual modeling of the pedagogical eLearning services domain; interoperability and coordination of pedagogical eLearning service; conversion of existing eLearning systems to pedagogical services; adaptation of eLearning services to individual learners. An improved eLearning platform will incorporate learning tools adequate to the domains it covers and will focus on the individual learner that uses it. With this approach we expect to raise the pedagogical value of eLearning platforms.

Education for health: alcohol and young aged school teenagers

Introduction: Alcohol consumption starts at an early age in Portuguese people. Health problems and risk behavior associated with excessive consumption can be prevented or highly reduced through effective school programs. Health professionals, such as biomedical scientists, (BSc), are important in promoting healthy lifestyles through the transmission of knowledge. Objective: Explore the role of the BSc in promoting health via intervention and clarification actions, (ICA), with 9th grade students from Agrupamento de Escolas da Portela e Moscavide (AEPM) and Visconde Juromenha (AEVJ); Verify the relationship between participating in the ICA and the level of knowledge acquired from it. Methods: Behaviors and beliefs concerning alcohol consumption and knowledge about the repercussions of it in the human body, mainly regarding the liver, were assessed by questionnaire. The questionnaire was completed before and after the ICA, by the control group (CG) and the study group (SG), respectively. The answers concerning knowledge were given points, later converted to a score from 0 to 100%. Data was analyzed applying descriptive statistics and the t-student test using SPSS 20.0. Results: After statistical analysis, it was found an average score of 48.8% for SG and 46.2% for CG. The difference between groups was statistically significant only in AEPM where ICA included a practical methodology (microscopic and macroscopic observation of pork livers), contrary to AEVJ. Conclusions: BSc intervention through ICA’s improves teenagers’ knowledge. Theoretical knowledge associated with practical approaches improves the retention of information and the development of a conscious behavior about the consumption of alcohol.

Reason Maintenance Systems: Tools for Foundations-based Belief Revision

Dynamic and distributed environments are hard to model since they suffer from unexpected changes, incomplete knowledge, and conflicting perspectives and, thus, call for appropriate knowledge representation and reasoning (KRR) systems. Such KRR systems must handle sets of dynamic beliefs, be sensitive to communicated and perceived changes in the environment and, consequently, may have to drop current beliefs in face of new findings or disregard any new data that conflicts with stronger convictions held by the system. Not only do they need to represent and reason with beliefs, but also they must perform belief revision to maintain the overall consistency of the knowledge base. One way of developing such systems is to use reason maintenance systems (RMS). In this paper we provide an overview of the most representative types of RMS, which are also known as truth maintenance systems (TMS), which are computational instances of the foundations-based theory of belief revision. An RMS module works together with a problem solver. The latter feeds the RMS with assumptions (core beliefs) and conclusions (derived beliefs), which are accompanied by their respective foundations. The role of the RMS module is to store the beliefs, associate with each belief (core or derived belief) the corresponding set of supporting foundations and maintain the consistency of the overall reasoning by keeping, for each represented belief, the current supporting justifications. Two major approaches are used to reason maintenance: single-and multiple-context reasoning systems. Although in the single-context systems, each belief is associated to the beliefs that directly generated it—the justification-based TMS (JTMS) or the logic-based TMS (LTMS), in the multiple context counterparts, each belief is associated with the minimal set of assumptions from which it can be inferred—the assumption-based TMS (ATMS) or the multiple belief reasoner (MBR).

Belief Revision in Multi-Agent Systems

The ability to respond sensibly to changing and conflicting beliefs is an integral part of intelligent agency. To this end, we outline the design and implementation of a Distributed Assumption-based Truth Maintenance System (DATMS) appropriate for controlling cooperative problem solving in a dynamic real world multi-agent community. Our DATMS works on the principle of local coherence which means that different agents can have different perspectives on the same fact provided that these stances are appropriately justified. The belief revision algorithm is presented, the meta-level code needed to ensure that all system-wide queries can be uniquely answered is described, and the DATMS’ implementation in a general purpose multi-agent shell is discussed.

Consistency and Context Management in a Multi Agent Belief Revision Testbed

Multi-agent architectures are well suited for complex inherently distributed problem solving domains. From the many challenging aspects that arise within this framework, a crucial one emerges: how to incorporate dynamic and conflicting agent beliefs? While the belief revision activity in a single agent scenario is concentrated on incorporating new information while preserving consistency, in a multi-agent system it also has to deal with possible conflicts between the agents perspectives. To provide an adequate framework, each agent, built as a combination of an assumption based belief revision system and a cooperation layer, was enriched with additional features: a distributed search control mechanism allowing dynamic context management, and a set of different distributed consistency methodologies. As a result, a Distributed Belief Revision Testbed (DiBeRT) was developed. This paper is a preliminary report presenting some of DiBeRT contributions: a concise representation of external beliefs; a simple and innovative methodology to achieve distributed context management; and a reduced inter-agent data exchange format.

The European Project Semester at ISEP: the challenge of educating global engineers

Current engineering education challenges require approaches that promote scientific, technical, design and complementary skills while fostering autonomy, innovation and responsibility. The European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) (EPS@ISEP) is a one semester project-based learning programme (30 European Credit Transfer Units (ECTU)) for engineering students from diverse scientific backgrounds and nationalities that intends to address these goals. The students, organised in multidisciplinary and multicultural teams, are challenged to solve real multidisciplinary problems during one semester. The EPS package, although on project development (20 ECTU), includes a series of complementary seminars aimed at fostering soft, project-related and engineering transversal skills (10 ECTU). Hence, the students enrolled in this programme improve their transversal skills and learn, together and with the team of supervisors, subjects distinct from their core training. This paper presents the structure, implementation and results of the EPS@ISEP that was created in 2011 to apply the best engineering practices and promote internationalisation and engineering education innovation at ISEP.

Vertex component analysis: a geometric-based approach to unmix hyperspectral data

Hyperspectral remote sensing exploits the electromagnetic scattering patterns of the different materials at specific wavelengths [2, 3]. Hyperspectral sensors have been developed to sample the scattered portion of the electromagnetic spectrum extending from the visible region through the near-infrared and mid-infrared, in hundreds of narrow contiguous bands [4, 5]. The number and variety of potential civilian and military applications of hyperspectral remote sensing is enormous [6, 7]. Very often, the resolution cell corresponding to a single pixel in an image contains several substances (endmembers) [4]. In this situation, the scattered energy is a mixing of the endmember spectra. A challenging task underlying many hyperspectral imagery applications is then decomposing a mixed pixel into a collection of reflectance spectra, called endmember signatures, and the corresponding abundance fractions [8–10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. Linear mixing model holds approximately when the mixing scale is macroscopic [13] and there is negligible interaction among distinct endmembers [3, 14]. If, however, the mixing scale is microscopic (or intimate mixtures) [15, 16] and the incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [17], the linear model is no longer accurate. Linear spectral unmixing has been intensively researched in the last years [9, 10, 12, 18–21]. It considers that a mixed pixel is a linear combination of endmember signatures weighted by the correspondent abundance fractions. Under this model, and assuming that the number of substances and their reflectance spectra are known, hyperspectral unmixing is a linear problem for which many solutions have been proposed (e.g., maximum likelihood estimation [8], spectral signature matching [22], spectral angle mapper [23], subspace projection methods [24,25], and constrained least squares [26]). In most cases, the number of substances and their reflectances are not known and, then, hyperspectral unmixing falls into the class of blind source separation problems [27]. Independent component analysis (ICA) has recently been proposed as a tool to blindly unmix hyperspectral data [28–31]. ICA is based on the assumption of mutually independent sources (abundance fractions), which is not the case of hyperspectral data, since the sum of abundance fractions is constant, implying statistical dependence among them. This dependence compromises ICA applicability to hyperspectral images as shown in Refs. [21, 32]. In fact, ICA finds the endmember signatures by multiplying the spectral vectors with an unmixing matrix, which minimizes the mutual information among sources. If sources are independent, ICA provides the correct unmixing, since the minimum of the mutual information is obtained only when sources are independent. This is no longer true for dependent abundance fractions. Nevertheless, some endmembers may be approximately unmixed. These aspects are addressed in Ref. [33]. Under the linear mixing model, the observations from a scene are in a simplex whose vertices correspond to the endmembers. Several approaches [34–36] have exploited this geometric feature of hyperspectral mixtures [35]. Minimum volume transform (MVT) algorithm [36] determines the simplex of minimum volume containing the data. The method presented in Ref. [37] is also of MVT type but, by introducing the notion of bundles, it takes into account the endmember variability usually present in hyperspectral mixtures. The MVT type approaches are complex from the computational point of view. Usually, these algorithms find in the first place the convex hull defined by the observed data and then fit a minimum volume simplex to it. For example, the gift wrapping algorithm [38] computes the convex hull of n data points in a d-dimensional space with a computational complexity of O(nbd=2cþ1), where bxc is the highest integer lower or equal than x and n is the number of samples. The complexity of the method presented in Ref. [37] is even higher, since the temperature of the simulated annealing algorithm used shall follow a log( ) law [39] to assure convergence (in probability) to the desired solution. Aiming at a lower computational complexity, some algorithms such as the pixel purity index (PPI) [35] and the N-FINDR [40] still find the minimum volume simplex containing the data cloud, but they assume the presence of at least one pure pixel of each endmember in the data. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. PPI algorithm uses the minimum noise fraction (MNF) [41] as a preprocessing step to reduce dimensionality and to improve the signal-to-noise ratio (SNR). The algorithm then projects every spectral vector onto skewers (large number of random vectors) [35, 42,43]. The points corresponding to extremes, for each skewer direction, are stored. A cumulative account records the number of times each pixel (i.e., a given spectral vector) is found to be an extreme. The pixels with the highest scores are the purest ones. N-FINDR algorithm [40] is based on the fact that in p spectral dimensions, the p-volume defined by a simplex formed by the purest pixels is larger than any other volume defined by any other combination of pixels. This algorithm finds the set of pixels defining the largest volume by inflating a simplex inside the data. ORA SIS [44, 45] is a hyperspectral framework developed by the U.S. Naval Research Laboratory consisting of several algorithms organized in six modules: exemplar selector, adaptative learner, demixer, knowledge base or spectral library, and spatial postrocessor. The first step consists in flat-fielding the spectra. Next, the exemplar selection module is used to select spectral vectors that best represent the smaller convex cone containing the data. The other pixels are rejected when the spectral angle distance (SAD) is less than a given thresh old. The procedure finds the basis for a subspace of a lower dimension using a modified Gram–Schmidt orthogonalizati on. The selected vectors are then projected onto this subspace and a simplex is found by an MV T pro cess. ORA SIS is oriented to real-time target detection from uncrewed air vehicles using hyperspectral data [46]. In this chapter we develop a new algorithm to unmix linear mixtures of endmember spectra. First, the algorithm determines the number of endmembers and the signal subspace using a newly developed concept [47, 48]. Second, the algorithm extracts the most pure pixels present in the data. Unlike other methods, this algorithm is completely automatic and unsupervised. To estimate the number of endmembers and the signal subspace in hyperspectral linear mixtures, the proposed scheme begins by estimating sign al and noise correlation matrices. The latter is based on multiple regression theory. The signal subspace is then identified by selectin g the set of signal eigenvalue s that best represents the data, in the least-square sense [48,49 ], we note, however, that VCA works with projected and with unprojected data. The extraction of the end members exploits two facts: (1) the endmembers are the vertices of a simplex and (2) the affine transformation of a simplex is also a simplex. As PPI and N-FIND R algorithms, VCA also assumes the presence of pure pixels in the data. The algorithm iteratively projects data on to a direction orthogonal to the subspace spanned by the endmembers already determined. The new end member signature corresponds to the extreme of the projection. The algorithm iterates until all end members are exhausted. VCA performs much better than PPI and better than or comparable to N-FI NDR; yet it has a computational complexity between on e and two orders of magnitude lower than N-FINDR. The chapter is structure d as follows. Section 19.2 describes the fundamentals of the proposed method. Section 19.3 and Section 19.4 evaluate the proposed algorithm using simulated and real data, respectively. Section 19.5 presents some concluding remarks.

RAISING INTERCULTURAL AWARENESS AT PRIMARY LEVEL THROUGH STORYTELLING WITHIN A CLIL APPROACH

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino de Inglês

The development of a knowledge-based society - Challenges for e-learning and adult students in higher education

This chapter appears in Encyclopaedia of Distance Learning 2nd Edition edit by Rogers, P.; Berg, Gary; Boettecher, Judith V.; Howard, Caroline; Justice, Lorraine; Schenk, Karen D.. Copyright 2009, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL: http://www.igi-global.com/reference/ details.asp?ID=9703&v=tableOfContents

Incapacidade auto-reportada e retorno à actividade profissional em utentes com dor crónica lombar

RESUMO: O absentismo à actividade profissional devido à condição de Dor Lombar apresenta-se como um problema de saúde pública com elevados custos económicos nas sociedades ocidentais. É estimado que cerca de 20% a 47% dos utentes com Dor Lombar não retornam à sua actividade profissional no período de 3 meses, sendo responsáveis por 75% a 90% de todos os custos e baixas médicas associadas à condição. Objectivo: O objectivo deste estudo foi analisar a capacidade de retorno à actividade profissional em utentes com Dor Crónica Lombar (DCL), que procuraram a Fisioterapia em situação de agudização dos seus sintomas, e averiguar a sua relação com os níveis de Incapacidade auto-reportados. Secundariamente pretendemos avaliar a influência das Crenças de medo-evitamento, nos níveis de Incapacidade auto-reportados. Metodologia: Foi efectuado um estudo correlacional prospectivo no qual se observou uma amostra de 56 utentes com DCL que tivessem apresentado novos episódios de agudização dos seus sintomas. Após 3 meses de follow-up (n=42) foi avaliado o “regresso ao trabalho em boas condições” e a sua relação com os níveis de Incapacidade iniciais, bem como o contributo das Crenças de medo-evitamento para essa Incapacidade funcional. Resultados: Foi verificada uma correlação negativa entre os níveis de Incapacidade funcional e o Sucesso no “regresso ao trabalho em boas condições” (ρ = -0.369; p =0.016), sendo que os scores mais elevados da Incapacidade correspondem à Falha nesse regresso. Verificámos também uma correlação positiva entre a existência das Crenças de medo-evitamento relativas ao Trabalho e a Incapacidade (r =0.511; p =0,001), apresentando estas Crenças um valor preditivo (β= 0.533; p =0.001) na Incapacidade auto-reportada. Conclusões: A capacidade de retorno à actividade profissional nos utentes com DCL, após um novo episódio de agudização dos seus sintomas, está relacionada com níveis de Incapacidade funcional. Os factores psicossociais, nomeadamente as Crenças de medo-evitamento relativas ao Trabalho apresentam um valor preditivo para essa Incapacidade auto-reportada.------------------------------ABSTRACT:Work-absenteeism due to the condition of Low Back Pain (LBP) presents itself as a public health problem with high economic costs in Western societies. It is estimated that 20% to 47% of patients with LBP not returned to their work-activity in period of 3 months, accounting for 75% to 90% of all medical costs and sickness compensation associated. Objective: The aim of the present study was to assess the ability to return to work on patients with chronic LBP, who searched for physical therapy in a situation of worsening of their symptoms, and examine their relationship with levels of self-reported disability. Secondly we intend to evaluate the influence of fear-avoidance beliefs to the levels of self-reported disability. Methods: We conducted a prospective cross-sectional study in which we observed 56 patients chronic LBP with new episodes of exacerbation of their symptoms. After a 3 months follow-up (n = 42) we evaluated the “return to work in good health” and its relationship with initial levels of disability and the contribution of fear-avoidance beliefs for that disability. Results: There was a negative correlation between levels of disability and “return to work in good health” success (ρ = -0.369, p = 0.016), with the highest scores correspond to the failure in the work-return. We also found a positive correlation between the existence of fear-avoidance beliefs for work and disability (r = 0.511; p = 0.001), with a predictive value of these fear-avoidance beliefs (β = 0.533; p = 0.001) in self-reported disability. Conclusions: The ability to return to work in chronic LBP patients, after a new episode of exacerbation of symptoms is related to the levels of functional disability. Psychosocial factors, including fear-avoidance beliefs for work showed a predictive value for the self-reported disability.

Dor crónica lombar : incapacidade auto-reportada em trabalhadores das IPSS de Arronches e sua relação com factores psicossociais e intensidade da dor

RESUMO: Vários estudos realizados sugerem que os factores psicossociais (nível de satisfação laboral; nível educacional; a catastrofização da dor e crenças de medoevitamento)têm um importante papel como factores associados ao desenvolvimento de cronicidade da DL (Krismer & van Tulder, 2007; Kwon et al., 2006; Leclerc et al., 2009; Pincus, Santos, Breen, Burton e Underwood., 2008.) Objectivo: Analisar a associação entre as variáveis catastrofização da dor, crenças de medo-evitamento da dor e intensidade da dor com a incapacidade funcional auto-reportada, numa amostra de indivíduos com DCL. Metodologia: A população alvo foi constituída por 160 funcionários da Santa Casa da Misericórdia e Centro de Bem Estar Social de Arronches. Integraram a amostra 133 funcionários que se disponibilizaram a responder aos diferentes instrumentos de avaliação utilizados (“Roland–Morris Disability Questionnaire”(RMQ); “ Questionário de Caracterização e Levantamento de Factores de Risco e Impacto associado à DCL”; “Pain Catastrophing Scale” (PCS) e o “Fear- Avoidance Beliefs Questionnaire” (FABQ). A recolha de dados realizou-se entre Agosto e Novembro de 2010. Resultados: Neste estudo, verificou-se que 39,1 % dos indivíduos referiam DCL não específica. Relativamente à incapacidade funcional autoreportada, obteve-se um score médio 5,87 no RMQ. Obteve-se um valor de rs=0,425,p<0,01, para a associação entre a catastrofização da dor e incapacidade. Relativamente à associação entre crenças de medo-evitamento, sub-escala actividade física e incapacidade, foi obtido o valor de rs= 0,074 e para a associação entre as crenças de medo-evitamento, sub-escala trabalho e incapacidade, verificou-se rs=0,422, p<0,01. No que respeita à associação entre percepção da intensidade dor actual e a incapacidade, obteve-se um valor rs= 0,177 e a associação entre a dor percepcionada em 2009 e incapacidade, aferiu um resultado de rs=0,291, p<0,05. Conclusão: Concluímos que existe uma associação moderada entre catastrofização da dor e a incapacidade funcional auto-reportada, e também entre crenças de medo-evitamento relativamente ao trabalho e a incapacidade funcional auto-reportada. Relativamente à associação entre a dor percepcionada em 2009 e a incapacidade funcional auto-reportada a associação é baixa. Não sendo encontrada associação entre crenças de medo-evitamento relativamente à actividade física e a incapacidade funcional auto-reportada, nem para a associação entre percepção da intensidade da dor actual e a incapacidade. Esta pesquisa contribuiu assim, para dar a conhecer factores relevantes avaliar em indivíduos com DCL, podendo a sua modificação contribuir para a prevenir maiores níveis de incapacidade funcional ou melhorar a efectividade do tratamento utilizado. --------------------ABSTRACT: Several studies suggest that psychosocial factors (level of job satisfaction, education level, and the pain catastrophizing and fear-avoidance beliefs) have an important role as factors associated with development of chronicity LBP (Krisma & van Tulder, 2007 ; Kwon et al., 2006, Leclerc et al. 2009; Pincus, Santos, Breen, Burton and Underwood., 2008.) Objective: To assess the association between the variables of pain catastrophizing, fear-avoidance beliefs, pain, intensity pain and self-reported functional disability in a sample of people with chronic LBP. Methodology: The study consisted of 160 employees of the Santa Casa da Misericórdia and Centro de Bem Estar Social of Arronches. Integrated sample of 133 employees who agreed to respond to different assessment tools used (Roland-Morris Disability Questionnaire (RMQ), "Questionnaire Survey of Characterization and Risk Factors and Impact associated with the DCL," "Pain Catastrophing Scale(PCS) and "Fear-Avoidance Beliefs Questionnaire (FABQ). Data collection took place between August and November 2010. Results: In this study, it was found that 39.1% of subjects reported no specific chronic LBP. For the self-reported functional disability, we obtained a medium score of 5.87 on the RMQ. We obtained a value of rs = 0.425, p <0.01, for the association between catastrophizing in pain and disability. Regarding the association between fear-avoidance beliefs, sub-scale physical activity and disability, was obtained a value of rs = 0.074 and for the association between fear-avoidance beliefs, sub-scale work and disability, there was rs = 0.422, p <0.01. Regarding the association between perceived pain intensity and pain disability present we obtained a value rs = 0.177 association between pain and perceived disability in 2009 and measured an outcome of rs = 0.291, p <0.05.Conclusion: That there is a moderate association between catastrophizing and pain self-reported functional disability, and also between fear-avoidance beliefs in relation to employment and self-reported functional disability. Regarding the association between pain and perceived disability in 2009 self-reported the association is low. Not being an association between earavoidance beliefs for physical activity and self-reported functional disability, or for the association between perception of current pain intensity and disability. This research contributed so, to disclose relevant factors evaluate in individuals with chronic LBP, its modification may help to prevent higher levels of functional disability or improve the effectiveness of treatment used.