Self-concept is the individual's subjective view of themselves. It impacts interaction with others and, in turn, further the development of the self. Cultural aspects, gender differences, and psychiatric and substance use disorders further impact the subjective view of the self. Structural Analysis of Social Behavior (SASB) is a model rooted in interpersonal theory and the interpersonal circle that divides the self-concept into eight behavioral clusters over love-hate and autonomy-control. The individual's measured self-beliefs can be used in motivational work and treatment. The forensic psychiatric population is complex, with high levels of comorbidity, but little is known about how they view themselves. This study aims to capture their self-concept and examine if different psychiatric diagnostic groups have distinct self-concept profiles. One hundred and six patients who had previously completed the SASB introject questionnaire were included. Demographic data and other variables were also coded from their electronic journal. The participant's descriptives showed differences from the normative group and slight differences between the psychiatric groups. Inferential statistical analysis showed a significant difference regarding the negative clusters between the Neurodevelopmental and Psychosis groups and a trend of differing scores between the Neurodevelopmental and Personality Disorders groups. Study limitations make it hard to point to distinct self-concept profiles, but SASB-results indicate that the patients generally feel positive about themselves. Further research is needed to increase the findings' generalizability and better capture self-concept in comorbid inpatients. / FOR-SATA

Les TIC sont un facteur clé de performance dans les pays développés. Cette thèse s’intéresse à l’adoption des TIC et leur impact sur la performance des PME manufacturières d’un pays en développement. A la suite d’une première partie qui présente le cadre théorique et conceptuel, le reste de la thèse est organisé en trois études empiriques. La première étude propose une modélisation Probit afin d’identifier les déterminants d’adoption des TIC. Le capital humain est la variable explicative la plus significative. Se basant sur la régression linéaire à variables muettes, la causalité de Granger, le test de Kruskal-Wallis et le test de l’ANOVA de Welch, suivis des tests post-hoc correspondants, la deuxième étude met en évidence l’existence d’un fort lien statistique significatif entre le niveau d’adoption des TIC et la rentabilité. Dans une troisième étude, plusieurs modélisations Probit (simple, ordonné et multivarié) ont été testées sur différentes mesures de performance. Nous montrons, premièrement, que les TIC ont un impact positif sur la productivité, la rentabilité et la compétitivité. Deuxièmement, les TIC, le capital humain et la formation sont les déterminants de la performance globale. Enfin, la contribution des TIC à la performance globale est forte lorsqu’elles sont combinées au capital humain qualifié. En définitive, nos résultats empiriques ont montré un effet positif des TIC, du capital humain et du changement organisationnel sur la performance des PME. / ICT is a key performance factor in developed countries. This PhD thesis focuses on the adoption of ICTs and their impact on the performance of manufacturing SMEs in a developing country. Following a first part covering the theoretical and conceptual framework, the rest of the thesis is organized in three empirical studies. The first study uses a Probit model in order to identify the determinants of ICT adoption. Human capital seems to be the most significant explanatory variable. Based on linear regression of dummy variables, Granger causality, Kruskal-Wallis test, ANOVA test of Welch, followed by corresponding post-hoc tests, the second study highlights the existence of a strong statistically significant relationship between the level of ICT adoption and profitability. In a third study, many Probit models (simple, ordered and multivariate) were tested on different measures of performance. Firstly, we show that ICT have a positive impact on productivity, profitability and competitiveness of SMEs. Secondly, ICT, human capital and training are determinants of firm overall performance. Thirdly, when combined together, ICT and highly skilled human resources have an important contribution to the global performance. In conclusion, our empirical results demonstrate a positive impact of ICT, human capital and organizational change on firm performance.

This report focus upon implied volatility for American styled Asian options, and a least squares approximation method as a way of estimating its magnitude. Asian option prices are calculated/approximated based on Quasi-Monte Carlo simulations and least squares regression, where a known volatility is being used as input. A regression tree then empirically builds a database of regression vectors for the implied volatility based on the simulated output of option prices. The mean squared errors between imputed and estimated volatilities are then compared using a five-folded cross-validation test as well as the non-parametric Kruskal-Wallis hypothesis test of equal distributions. The study results in a proposed semi-parametric model for estimating implied volatilities from options. The user must however be aware of that this model may suffer from bias in estimation, and should thereby be used with caution.

Hawking radiation is a phenomenon where the combination of geometry of spacetime around a black hole and quantum effects near its event horizon causes particle emission. Stephen Hawking was one of the first to make computations and conclude that this is valid for every black hole in general. Therefore, the goal of the project was to understand how the presence of a black hole changes geometry of spacetime, explore some of its peculiar properties and, finally, connect it to Hawking radiation. It turns out that one way to describe geometry around a black hole is to use the Schwarzchild metric which fully describes surroundings of a non-rotating and uncharged black hole. Using the so called Klein-Gordon equation and some additional computations one then sees that there’s indeed a particle emission. However, the radiation appears to be observer dependent which is due to curvature near event horizon. Hawking radiation has temperature which happens to be extremely small to detect, but this result reveals the fact that black holes radiate faster as they shrink. However, the time it takes for an arbitrary black hole to evaporate is much longer than the age of the Universe. Encountering those and some other challenges Hawking radiation remains hypothetical. / Hawkingstrålning är ett fenomen där kombinationen av geometri av rumtid runt ett svart hål och kvantmekaniska effekter nära dess händelsehorisont leder till partikel emission. Stephen Hawking var bland de första att göra beräkningar och dra slutsatsen att detta är giltigt för alla svarta hål. Syftet med projektet var därför att förstå hur närvaron av ett svart hål ändrar geometri av rumtid, undersöka dess vissa speciella egenskaper samt anknyta det till Hawkingstrålning. Det visar sig att ett sätt att beskriva geometri kring ett svart hål är att använda Schwarzchild metriken som helt beskriver omgivningen av ett icke roterande och oladdat svart hål .Använder man sig av så kallade Klein-Gordon ekvationen och några ytterligare beräkningar så kommer man till slutsaten att det verkligen finns enemission av partiklar. Emissionen verkar dock vara observatörsberoende på grund av krökning nära händelsehorisont. Hawkingstrålning har temperatur som visar sig vara extremt liten för att upptäcka, men resultaten avslöjar faktumet att svarta hål strålar ut snabbare då de krymper. Tiden det tar för ett godtyckligt svart hål att koka bort är dock mycket längre än åldern of Universum. På grund av dessa och några andra utmanningar återstår Hawkingstrålning hypotetiskt.

This work is intended on identification with basic problems from the graphs theory area. There are the basic conceptions as well more complicated problems described. The one part of this work is specialized in working of individual types of graphs. It starts with single linked list through double linked list after as much as trees which represented the simplest graphs textures. The other part of this work devotes to the whole graph and describes more complicated problems and their resolution from the theory graphs area. Among these problems belongs to searching in graphs help by Depth First Search and Breadth First Search methods. Then searching the shortest way help by the specific algorithms as are: Dijkstra´s algorithm, Floyd-Warshall´s algorithm and Bellman-Ford´s algorithm. The last part is devoted to problems with searching minimal frames of graphs with usage Kruskal´s algorithm, Jarnik´s algorithm and Boruvka´s algorithm methods.