Detta examensarbete är en studie hur en gymnasieskola arbetar kring norm och HBT. Studien syftar till att visa hur skolor arbetar idag och hur den undersökta skolans arbete kan förbättras utifrån ett specialpedagog perspektiv. Uppsatsen inleds med en litteraturstudie där skolans traditionella arbete och möjlighet till förändring bearbetas. Den andra delen av uppsatsen är en analys av den undersökta skolans likabehandlingsplan och hur HBT behandlas i densamma. Den tredje delen av uppsatsen består av en enkätstudie som syftar till att undersöka hur lärare upplever området HBT och skolan. Resultatet visar att den undersökta skolan tenderar att bedriva ett klassiskt normarbete med heteronormativitet som grund. Skolan skiljer sig också från skolverkets rekommendationer när det gäller arbetet med likabehandlingsplanen. Enkätundersökningen visar att lärare tenderar att anse att skolan som helhet skall betrakta HBT området ur ett normalperspektiv men att denna betraktelse inte behöver genomsyra hela skolans verksamhet. Området är ett intresseområde för specialpedagogen ur såväl förändringssynvinkel där det finns flera uppdrag att fylla på den undersökta skolan, men även ur en synvinkel där alla elever skall bemötas på bästa sätt i en skola.

This study focuses on the processing, structure and properties of polyacrylonitrile (PAN)/ carbon nanotube (CNT) composite carbon fibers. Small diameter PAN/CNT based carbon fibers have been processed using sheath-core and islands-in-a-sea (INS) fiber spinning technology. These methods resulted in carbon fibers with diameters of ~3.5 μm and ~1 μm (for sheath-core and INS respectively). Poly (methyl methacrylate) has been used as the sheath or the sea component, which has been removed prior to carbonization. These fibers have been stabilized and carbonized using a batch process. The effect of stabilization has been characterized by Fourier Transform Infrared Spectroscopy (FTIR), wide-angle X-ray diffraction (WAXD), and differential scanning calorimetry (DSC). A non-isothermal extent of cyclization (Mcyc) from the DSC kinetics study was developed in order to obtain an unbiased method for determining the optimal stabilization condition. The results of Mcyc were found to be in good agreement with the experimental FTIR and WAXD observations. The carbon fiber fracture surfaces have been examined using SEM. Various test parameters that affect the tensile properties of the precursor fiber (both PAN and PAN/CNT), as well as carbon fiber have been studied. In an attempt to validate single filament tests, fiber tow testing has also been done using standard test methods. Batch processed carbon fibers obtained via sheath-core geometry exhibited tensile strengths as high as 6.5 GPa, while fibers processed by islands-in-a-sea geometry exhibited strength values as high as 7.7 GPa.

Introduction: Corporate limits becoming more diffuse due to the globalization taking place and requirements for analytical strategies are becoming more fundamental parts of organizations. Business Intelligence systems are hot and not without reason, today's world is spinning faster and with a flow of information that is constantly increasing Business Intelligence promises to introduce a support that will render a better decision-making, something that everyone wants. Problem Discussion: The local government business has today demands from the Swedish School-inspection to analyze and create adequate target images to the school and students meet curriculum goals and guidelines. Therefore, local government activities has increasingly begun to implement Business Intelligence tools, with the purpose to facilitate strategic and operational decisions were the result plays an increasing role in today's society. Purpose: This study evaluates how the analysis tool Qlikview fulfills the function of monitoring and controlling the improved student achievement in public schools. Method: The evaluation has been conducted qualitative interviews with staffs that have leadership positions in each municipality and management and possess a deep knowledge of the analysis tool and its processes. Conclusion: The evaluation has shown positive effects on the monitoring and control of student performance through better control of school operations.

Classical view of power system is characterized by a unidirectional power flow from centralized generation to consumers. Power system deregulation gave impetus to a modern view by introducing distributed generations (DGs) into distribution systems, leading to a bi-directional power flow. Several benefits of embedding DGs into distribution systems, such as increased reliability and reduced system losses, can be achieved. However, when a zone of the distribution system remains energized after being disconnected from the grid, DGs become islanded and early detection is needed to avoid several operational issues. In response to this call, a wavelet-based approach that uses the mean voltage index is proposed in this work to detect islanding operation in distribution systems embedding DGs. The proposed approach has been tested in several islanding and non-islanding scenarios using IEEE 13-bus distribution system. The results have shown the effectiveness of the proposed approach compared to other islanding approaches previously published in the literature. / UOIT

The effect of annealing conditions on the microstructure evolution of CVD nickel was investigated systematically in the present study by differential scanning calorimetry, optical microscopy and transmission electron microscopy (TEM), upon both ex-situ and in-situ annealing. TEM observation revealed the as-deposited CVD nickel possessed a bi-modal grain structure, with large columnar grains embedded in nanocrystalline matrix. Ultrafine and nano growth twins were present as well as multiply twinned grains with five-fold symmetry. Microstructure observation upon annealing showed that grain growth did not occur until annealing at 400ºC. Detwinning was observed at 400ºC and higher temperatures. The ultrafine and nano twins tended to transform into dislocation cell structures and this phenomenon was driven by the excess free energy associated with the high density of grown-in twin boundaries. The five-fold twinned grains were found to be thermally stable up to 600ºC. The hardness was observed to decrease with increasing annealing temperature.

The effect of annealing conditions on the microstructure evolution of CVD nickel was investigated systematically in the present study by differential scanning calorimetry, optical microscopy and transmission electron microscopy (TEM), upon both ex-situ and in-situ annealing. TEM observation revealed the as-deposited CVD nickel possessed a bi-modal grain structure, with large columnar grains embedded in nanocrystalline matrix. Ultrafine and nano growth twins were present as well as multiply twinned grains with five-fold symmetry. Microstructure observation upon annealing showed that grain growth did not occur until annealing at 400ºC. Detwinning was observed at 400ºC and higher temperatures. The ultrafine and nano twins tended to transform into dislocation cell structures and this phenomenon was driven by the excess free energy associated with the high density of grown-in twin boundaries. The five-fold twinned grains were found to be thermally stable up to 600ºC. The hardness was observed to decrease with increasing annealing temperature.

De nos jours, la radiographie est l'examen de référence pour le suivi des pathologies de la colonne vertébrale. La radiographie bi-planaire permet de plus, par reconstruction 3D, d'évaluer la configuration spatiale de la colonne vertébrale. Cependant, les expositions radiographiques répétées entrainent une augmentation du risque de cancer. Une solution pour réduire les doses de radiation peut être de remplacer certains examens radiographiques par une mesure de la surface du dos. Cette mesure non-invasive permet, entre autre, d'obtenir un grand nombre de paramètres cliniques utiles pour le diagnostic et le suivi des pathologies. Cette mesure permet également d'estimer la configuration du rachis si l'on met en place une modélisation biomécanique adaptée. Le travail réalisé dans cette thèse consiste à développer et mettre en oeuvre une telle modélisation basée sur les informations personnalisées à la fois internes et externes. Le dispositif Biomod 3S (développé par la société AXS Ingénierie, Bordeaux) offre la possibilité d'une acquisition simultanée de radiographies et de surfaces du dos par franges de Moiré. Cette acquisition sur une quinzaine de sujets scoliotiques (des Hôpitaux Universitaires de Bordeaux) a notamment permis d'évaluer les relations entre plusieurs paramètres 3D internes (e.g., la rotation axiale des vertèbres) et de nombreux paramètres 3D externes (e.g., les gibbosités et flèches). Cette acquisition simultanée permet également de prédire la nouvelle configuration de la colonne vertébrale dans une seconde posture où seule la mesure de surface du dos est effectuée. Pour cela, la modélisation en multi-corps rigides articulés qui a été développée (sous Scilab) utilise (a) la géométrie personnalisée de la colonne vertébrale reconstruite dans la première posture et (b) des contraintes issues de la mesure de la surface du dos dans les deux postures (e.g., position de C7). Le modèle a pu être validé sur une dizaine de sujets sains dont la colonne vertébrale et la surface du dos ont été reconstruits en 3D dans différentes positions (debout, penché en avant) à l'aide d'un IRM positionnel. Le modèle a pu également être exploité sur quelques sujets pathologiques. Ce travail, qui a exploré et exploité de nombreuses informations 3D internes et externes, ouvre des perspectives pour le diagnostic et le suivi non-invasif des pathologies de la colonne vertébrale

In this thesis, a method to calculate scaling function coefficients for a new bi-orthogonal wavelet family derived directly from an impulse response waveform is presented. In literature, the Daubechies wavelets (DB wavelet) and the Morlet wavelet are the most commonly used wavelets for the dyadic wavelet transform (DWT) and the continuous wavelet transform (CWT), respectively. For a specific vibration signal processing application, a wavelet basis that is similar or is derived directly from the signal being studied proves to be superior to the commonly used wavelet basis. To assure a wavelet basis has a direct relationship to the signal being studied, a new formula is proposed to calculate coefficients which capture the characteristics of an impulse response waveform. The calculated coefficients are then used to develop a new bi-orthogonal wavelet family.

In this work we formalize a new natural objective (or cost) function for bi-clustering - Monochromatic bi-clustering. Our objective function is suitable for detecting meaningful homogenous clusters based on categorical valued input matrices. Such problems have arisen recently in systems biology where researchers have inferred functional classifications of biological agents based on their pairwise interactions. We analyze the computational complexity of the resulting optimization problems. We show that finding optimal solutions is NP-hard and complement this result by introducing a polynomial time approximation algorithm for this bi-clustering task. This is the first positive approximation guarantee for bi-clustering algorithms. We also show that bi-clustering with our objective function can be viewed as a generalization of correlation clustering.

In this work we formalize a new natural objective (or cost) function for bi-clustering - Monochromatic bi-clustering. Our objective function is suitable for detecting meaningful homogenous clusters based on categorical valued input matrices. Such problems have arisen recently in systems biology where researchers have inferred functional classifications of biological agents based on their pairwise interactions. We analyze the computational complexity of the resulting optimization problems. We show that finding optimal solutions is NP-hard and complement this result by introducing a polynomial time approximation algorithm for this bi-clustering task. This is the first positive approximation guarantee for bi-clustering algorithms. We also show that bi-clustering with our objective function can be viewed as a generalization of correlation clustering.