Sökning: "M Look"
Visar resultat 1 - 5 av 35 avhandlingar innehållade orden M Look.
1. Do I look white? : Creating community in online safe spaces for racialized youth
Sammanfattning : This dissertation examines identity performances amongst racialized youth in online ‘safe spaces’. Using a netnography-inspired approach to study communities online, the study employs decolonial and narrative theories to analyse identity performances through everyday interaction. LÄS MER
2. The Social World Through Infants’ Eyes : How Infants Look at Different Social Figures
Sammanfattning : This thesis aims to study how infants actively look at different social figures: parents and strangers. To study infants’ looking behavior in “live” situations, new methods to record looking behavior were tested. Study 1 developed a method to record looking behavior in “live” situations: a head-mounted camera. LÄS MER
3. A new look at parenting during adolescence : reciprocal interactions in everyday life
Sammanfattning : In this dissertation I pose the question: Under what conditions are parent-child relationships linked to good, or bad, adolescent adjustment and under what conditions are they not? Study I focused on subjects with multiproblematic adjustment. It was proposed that multiproblematic adjustment in adolescence (as well as in late childhood and early adulthood) has to be seen in terms of individual and family characteristics early in life. LÄS MER
4. Fish Lenses : Anatomy and Optics
Sammanfattning : I have investigated some of the biological regulatory mechanisms governing the development of crystalline lenses. I used fish as model animals because they possess optically interesting lenses, while the geometrical simplicity of fish lenses allows for studies that are difficult or impossible with the lenses of other animals. LÄS MER
5. Learning predictive models from graph data using pattern mining
Sammanfattning : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. LÄS MER