A resolução de problemas como estratégia de promoção da educação ambiental para a sustentabilidade: uma intervenção com alunos de 11º ano centrada no tópico da exploração de recursos geológicos na disciplina de Biologia e Geologia

Relatório de estágio de mestrado em Ensino de Biologia e de Geologia no 3º Ciclo do Ensino Básico e no Ensino Secundário

Policy evaluation and uncertainty about the effects of oil prices on economic activity

This paper addresses the issue of policy evaluation in a context in which policymakers are uncertain about the effects of oil prices on economic performance. I consider models of the economy inspired by Solow (1980), Blanchard and Gali (2007), Kim and Loungani (1992) and Hamilton (1983, 2005), which incorporate different assumptions on the channels through which oil prices have an impact on economic activity. I first study the characteristics of the model space and I analyze the likelihood of the different specifications. I show that the existence of plausible alternative representations of the economy forces the policymaker to face the problem of model uncertainty. Then, I use the Bayesian approach proposed by Brock, Durlauf and West (2003, 2007) and the minimax approach developed by Hansen and Sargent (2008) to integrate this form of uncertainty into policy evaluation. I find that, in the environment under analysis, the standard Taylor rule is outperformed under a number of criteria by alternative simple rules in which policymakers introduce persistence in the policy instrument and respond to changes in the real price of oil.

Harmonic active contours.

We propose a segmentation method based on the geometric representation of images as 2-D manifolds embedded in a higher dimensional space. The segmentation is formulated as a minimization problem, where the contours are described by a level set function and the objective functional corresponds to the surface of the image manifold. In this geometric framework, both data-fidelity and regularity terms of the segmentation are represented by a single functional that intrinsically aligns the gradients of the level set function with the gradients of the image and results in a segmentation criterion that exploits the directional information of image gradients to overcome image inhomogeneities and fragmented contours. The proposed formulation combines this robust alignment of gradients with attractive properties of previous methods developed in the same geometric framework: 1) the natural coupling of image channels proposed for anisotropic diffusion and 2) the ability of subjective surfaces to detect weak edges and close fragmented boundaries. The potential of such a geometric approach lies in the general definition of Riemannian manifolds, which naturally generalizes existing segmentation methods (the geodesic active contours, the active contours without edges, and the robust edge integrator) to higher dimensional spaces, non-flat images, and feature spaces. Our experiments show that the proposed technique improves the segmentation of multi-channel images, images subject to inhomogeneities, and images characterized by geometric structures like ridges or valleys.

Global tractography with embedded anatomical priors for quantitative connectivity analysis.

Tractography algorithms provide us with the ability to non-invasively reconstruct fiber pathways in the white matter (WM) by exploiting the directional information described with diffusion magnetic resonance. These methods could be divided into two major classes, local and global. Local methods reconstruct each fiber tract iteratively by considering only directional information at the voxel level and its neighborhood. Global methods, on the other hand, reconstruct all the fiber tracts of the whole brain simultaneously by solving a global energy minimization problem. The latter have shown improvements compared to previous techniques but these algorithms still suffer from an important shortcoming that is crucial in the context of brain connectivity analyses. As no anatomical priors are usually considered during the reconstruction process, the recovered fiber tracts are not guaranteed to connect cortical regions and, as a matter of fact, most of them stop prematurely in the WM; this violates important properties of neural connections, which are known to originate in the gray matter (GM) and develop in the WM. Hence, this shortcoming poses serious limitations for the use of these techniques for the assessment of the structural connectivity between brain regions and, de facto, it can potentially bias any subsequent analysis. Moreover, the estimated tracts are not quantitative, every fiber contributes with the same weight toward the predicted diffusion signal. In this work, we propose a novel approach for global tractography that is specifically designed for connectivity analysis applications which: (i) explicitly enforces anatomical priors of the tracts in the optimization and (ii) considers the effective contribution of each of them, i.e., volume, to the acquired diffusion magnetic resonance imaging (MRI) image. We evaluated our approach on both a realistic diffusion MRI phantom and in vivo data, and also compared its performance to existing tractography algorithms.

Magnetic phase separation in ordered alloys

We present a lattice model to study the equilibrium phase diagram of ordered alloys with one magnetic component that exhibits a low temperature phase separation between paramagnetic and ferromagnetic phases. The model is constructed from the experimental facts observed in Cu3-xAlMnx and it includes coupling between configurational and magnetic degrees of freedom that are appropriate for reproducing the low temperature miscibility gap. The essential ingredient for the occurrence of such a coexistence region is the development of ferromagnetic order induced by the long-range atomic order of the magnetic component. A comparative study of both mean-field and Monte Carlo solutions is presented. Moreover, the model may enable the study of the structure of ferromagnetic domains embedded in the nonmagnetic matrix. This is relevant in relation to phenomena such as magnetoresistance and paramagnetism

Classification of textures seen from different distances and under varying illumination direction

Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image

Hintariskienhallinta pitkäaikaisissa urakoissa

Pitkäaikaisten rakennusurakoiden tarjouslaskennassa on ennakoitava hintojen muutoksia useiden vuosien päähän, kun tarjoukset on tehtävä kiinteillä hinnoilla. Kustannusten ennakointi ja hintariskienhallinta on kriittinen tekijä rakennusalan yrityksen kilpailukyvylle. Tämän tutkielman tavoitteena on kehittää YIT Rakennus Oy:n Infrapalveluille toimintamalli ja työkalu, joiden avulla hintariskejä voidaan hallita tarjouslaskennassa sekä hankintatoimessa. Ratkaisuksi kehitettiin kustannusten ennakointi -malli, jossa panosryhmien hintojen kehitystä ennustetaan asiantuntijaryhmissä säännöllisesti. Kustannusten ennakointi -mallin käyttöönotto vaatii ennustettavien panosryhmien määrittelyä. Lisäksi on nimettävä asiantuntijaryhmä sekä valittava aikajänne, jolle ennuste tehdään. Ennusteisiin sisältyvä epävarmuus saadaan esiin Monte Carlo simulaatiolla, ja urakan hintariskiä voidaan siten arvioida todennäköisyysjakaumien ja herkkyysanalyysin avulla. Valmiita ennusteita hyödynnetään tarjouslaskennassa sekä hankintatoimessa taktiikoiden ja strategioiden valinnassa.

Development of Collaborative Product Structure Management

The purpose of this thesis is to develop an environment or network that enables effective collaborative product structure management among stakeholders in each unit, throughout the entire product lifecycle and product data management. This thesis uses framework models as an approach to the problem. Framework model methods for development of collaborative product structure management are proposed in this study, there are three unique models depicted to support collaborative product structure management: organization model, process model and product model. In the organization model, the formation of product data management system (eDSTAT) key user network is specified. In the process model, development is based on the case company’s product development matrix. In the product model framework, product model management, product knowledge management and design knowledge management are defined as development tools and collaboration is based on web-based product structure management. Collaborative management is executed using all these approaches. A case study from an actual project at the case company is presented as an implementation; this is to verify the models’ applicability. A computer assisted design tool and the web-based product structure manager, have been used as tools of this collaboration with the support of the key user. The current PDM system, eDSTAT, is used as a piloting case for key user role. The result of this development is that the role of key user as a collaboration channel is defined and established. The key user is able to provide one on one support for the elevator projects. Also the management activities are improved through the application of process workflow by following criteria for each project milestone. The development shows effectiveness of product structure management in product lifecycle, improved production process by eliminating barriers (e.g. improvement of two-way communication) during design phase and production phase. The key user role is applicable on a global scale in the company.

Toimituskyvyn kehittäminen prosessin materiaalipuutteita hallitsemalla

Toimituskyky on yrityksen suorituskykyä kuvaava tekijä, jolla on merkittävä vaikutus asiakastyytyväisyyteen, erityisesti valmistusteollisuudessa. Toimituskyky muodostuu materiaalin saatavuudesta ja logistisen järjestelmän toimitusvarmuudesta, joten hyvä toimituskyky edellyttää materiaalipuutteiden hallintaa. Tämän diplomityön tavoitteena on esittää, miten toimituskykyä voidaan kehittää tilaus-toimitusprosessin materiaalipuutteita hallitsemalla. Tutkimus toteutettiin konstruktiivisella tutkimusotteella case-tutkimuksena havainnoimalla toimintaa case-yrityksessä sekä analysoimalla case-yrityksen kirjallista materiaalia ja arkistoja. Yrityksessä havaittuja materiaalipuutteisiin liittyviä ongelmia tarkasteltiin tilaus-toimitusprosessin näkökulmasta prosessijohtamisen ja systemaattisen ongelmanratkaisun teorioiden avulla. Tutkimuksen tuloksena laadittiin kolme käytännönläheistä ratkaisuehdotusta havaittuihin ongelmiin; (1) materiaalipuutteiden syy-seuraussuhteita kuvaavat ongelma-syy-seurausketjut, (2) materiaalipuutteiden ongelmanratkaisumalli systemaattisen ongelmanratkaisun tueksi sekä (3) visuaalinen tilaus-toimitusprosessimalli, joka painottaa osaprosessien yhteyttä koko prosessin toimituskykyyn ja toimitusvarmuuteen. Tulosten mukaan materiaalipuutteet tulisi käsittää prosessin laatuvirheinä, jotka antavat arvokasta tietoa siitä, että prosessissa on laatuongelmia. Tulosten perusteella yrityksen toimituskykyä voidaan kehittää havainnoimalla tilaus-toimitusprosessin laatuvirheitä, selvittämällä laatuvirheiden syy-seuraussuhteet systemaattisesti ongelmanratkaisumallia hyödyntäen sekä toimimalla prosessiajattelun mukaisesti tilaus-toimitusprosessin toimituskyvyn jatkuvaa parantamista tavoitellen. Tutkimusongelman tarkastelutapaa ja työn tuloksia voidaan soveltaa samankaltaisiin tapauksiin, joissa tilaus-toimitusprosessin laatuvirheet, esimerkiksi materiaalipuutteet, paljastavat kehittämistä vaativia epäkohtia prosessin toimintatavoissa. Tilaus-toimitusprosessin toimituskykyä voidaan kehittää vain, jos panostetaan ajan hallintaan ja kykyyn toimia asiakaslupausten ja sopimusten mukaisesti.

An exploration of transformation theory and the western tradition: a critical evaluation of a graduate studies class

This qualitative study is an exploration of transformation theory, the Western tradition, and a critical evaluation of a graduate studies class at a university. It is an exploration of assumptions that are embedded in experience, that influence the experience and provide meaning about the experience. An attempt has been made to identify assumptions that are embedded in Western experience and connect them with assumptions that shape the graduate class experience. The focus is on assumptions that facilitate and impede large group discussions. Jungian psychology of personality type and archetype and developmental psychology is used to analyze the group experience. The pragmatic problem solving model, developed by Knoop, is used to guide thinking about the Western tradition. It is used to guide the analysis, synthesis and writing of the experience of the graduate studies class members. A search through Western history, philosophy. and science revealed assumptions about the nature of truth, reality, and the self. Assumptions embedded in Western thinking about the subject-object relationship, unity and diversity are made explicit. An attempt is made to identify Western tradition assumptions underlying transformation theory. The critical evaluation of the graduate studies class experience focuses upon issues associated with group process, self-directed learning, the educator-learner transaction and the definition of adult education. The advantages of making implicit assumptions explicit is explored.

Sélection de modèle d'imputation à partir de modèles bayésiens hiérarchiques linéaires multivariés

Les logiciels utilisés sont Splus et R.

À l’écoute du soignant : relation de soins et considérations éthiques dans la pratique des soins psychiatriques communautaires

Un phénomène de résistance au traitement pharmacologique chez les personnes souffrant de maladies psychiatriques graves et persistantes comme la schizophrénie, tel que révélé par la pratique des soins psychiatriques communautaires de première ligne, sert de point de départ pour poser une distinction fondamentale entre les notions de traitement et de soins. Conséquemment, la question du consentement selon qu’il est attribué au traitement ou aux soins suggère des formes de consentement distinctes susceptible d’affecter la façon de faire face à des problèmes particuliers sur le plan de l’éthique. L’analyse conceptuelle d’un certain modèle d’interventions psychiatriques de crise, qui regroupe des travailleurs de la santé et des policiers au sein d’une même équipe de travail, permet de circonscrire des catégories de problèmes éthiques qui conduiront éventuellement à la formalisation d’une approche de résolution de problème. Trois façons d’approcher un problème d’éthique clinique sont proposées sous la forme d’enjeux, de dilemmes, puis de défis éthiques. L’intervention de crise y est catégorisée selon quatre niveaux d’intensité de crise, donnant lieu à une appréciation subjective par le soignant de la capacité de la personne soignée d’établir et de maintenir une relation de soins en situation de crise. Des parallèles entre les soins psychiatriques et les soins palliatifs permettent d’approfondir la question de la souffrance en lien avec la douleur et de distinguer à nouveau les notions de soins et de traitement. La relation de soins est présentée comme une occasion de normaliser les rapports entre soignants et soignés, de valoriser un état de souffrance à l’origine de la rencontre de soins, tout en mettant à profit la dimension relationnelle d’une condition qui appelle à être non pas traitée mais soignée. Ces considérations permettent de dégager une responsabilité nouvelle pour le soignant : celle de se faire le gardien de la relation de soins. Une transition du primum non nocere au primum non excludere : d’abord ne pas exclure est suggérée comme une maxime pour guider la relation de soins vers un consentement aux soins plus authentique.

Magnetic phase separation in ordered alloys

We present a lattice model to study the equilibrium phase diagram of ordered alloys with one magnetic component that exhibits a low temperature phase separation between paramagnetic and ferromagnetic phases. The model is constructed from the experimental facts observed in Cu3-xAlMnx and it includes coupling between configurational and magnetic degrees of freedom that are appropriate for reproducing the low temperature miscibility gap. The essential ingredient for the occurrence of such a coexistence region is the development of ferromagnetic order induced by the long-range atomic order of the magnetic component. A comparative study of both mean-field and Monte Carlo solutions is presented. Moreover, the model may enable the study of the structure of ferromagnetic domains embedded in the nonmagnetic matrix. This is relevant in relation to phenomena such as magnetoresistance and paramagnetism

Some Aspects of Domain Specific Conceptual Modeling for Simulation of Logistic Terminal Operations

When simulation modeling is used for performance improvement studies of complex systems such as transport terminals, domain specific conceptual modeling constructs could be used by modelers to create structured models. A two stage procedure which includes identification of the problem characteristics/cluster - ‘knowledge acquisition’ and identification of standard models for the problem cluster – ‘model abstraction’ was found to be effective in creating structured models when applied to certain logistic terminal systems. In this paper we discuss some methods and examples related the knowledge acquisition and model abstraction stages for the development of three different types of model categories of terminal systems

Poverty targeting and income impact of subsidised credit on accessed households in the Northern Mountainous Region of Vietnam

This paper uses the data of 1338 rural households in the Northern Mountainous Region of Vietnam to examine the extent to which subsidised credit targets the poor and its impacts. Principal Component Analysis and Propensity Score Matching were used to evaluate the depth of outreach and the income impact of credit. To address the problem of model uncertainty, the approach of Bayesian Model Average applied to the probit model was used. Results showed that subsidised credit successfully targeted the poor households with 24.10% and 69.20% of clients falling into the poorest group and the three bottom groups respectively. Moreover, those who received subsidised credit make up 83% of ethnic minority households. These results indicate that governmental subsidies are necessary to reach the poor and low income households, who need capital but are normally bypassed by commercial banks. Analyses also showed that ethnicity and age of household heads, number of helpers, savings, as well as how affected households are by shocks were all factors that further explained the probability at which subsidised credit has been assessed. Furthermore, recipients obtained a 2.61% higher total income and a 5.93% higher farm income compared to non-recipients. However, these small magnitudes of effects are statistically insignificant at a 5% level. Although the subsidised credit is insufficient to significantly improve the income of the poor households, it possibly prevents these households of becoming even poorer.