Sökning: "nämnaren"
Visar resultat 1 - 5 av 14 avhandlingar innehållade ordet nämnaren.
1. Prejudiced Personalities Revisited : On the Nature of (Generalized) Prejudice
Sammanfattning : In the media, one type of prejudice is often discussed as isolated from other types of prejudice. For example, after Breivik’s massacre, intolerance toward Muslims was intensely debated (for good reasons). However, his manifesto also disclosed extreme attitudes towards women and gays, a fact which passed without much notice. LÄS MER
2. Barns ”växa vilt” och vuxnas vilja att forma : Formell och informell socialisation i en muslimsk skola
Sammanfattning : The aim of the thesis is to examine how children as social beings and actors form themselves within the framework of a school institution that adults have set up in order to shape them in deliberate ways through nurturing education. The study is based on long-term fieldwork in a Muslim faith school in Sweden. LÄS MER
3. Electrochemistry of Heme Containing Enzymes - Fundamentals and Applications
Sammanfattning : The thesis is a bioelectrochemical study of heme enzymes, mainly peroxidases and cellobiose dehydrogenases (CDH). It covers both fundamental and applied aspects, viz. studies of the direct electron transfer and kinetics of enzymes on electrodes, and the development of amperometric enzyme-based biosensors. LÄS MER
4. Disciplined reasoning : Styles of reasoning and the mainstream-heterodoxy divide in Swedish economics
Sammanfattning : Economics is one of the most influential social science disciplines, with a high level of internal consent around a common theoretical and methodological approach to economic analysis. However, marginalised schools of thought have increasingly unified under the term “heterodox” economics, with their critical stance towards the “neoclassical mainstream” as common denominator. LÄS MER
5. Scalable Optimization Methods for Machine Learning : Acceleration, Adaptivity and Structured Non-Convexity
Sammanfattning : This thesis aims at developing efficient optimization algorithms for solving large-scale machine learning problems. To cope with the increasing scale and complexity of such models, we focus on first-order and stochastic methods in which updates are carried out using only (noisy) information about function values and (sub)gradients. LÄS MER