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”Of Spirits and Empty Spaces,” VOLUME, what you see is what you hear
Haunting Images: On Joachim Koester’s Photographic works
Valspecial 2018
Multi-Faith Spaces Uncover Secular Premises Behind the Multi-Faith Paradigm
Multi-Faith Spaces (MFSs) are a relatively recent invention that has quickly gained in significance. On the one hand, they offer a convenient solution for satisfying the needs of people with diverse beliefs in the institutional context of hospitals, schools, airports, etc. On the other hand, MFSs are politically significant because they represent the cornerstone of the public religion in Europe to
Envisioned and enacted practices: Educational policies and the ‘politics of use’ in schools
It is widely known that there is a discrepancy between educational policy on the one side, and teaching and learning practices on the other. Most studies have been focusing on the sociocultural and micropolitical frames that shape teachers’ understandings and enactments of teaching, and that cause the vast diversity of classroom practices around the world. This article wants to draw attention to t
A Contentious Politics Approach to the Explanation of Radicalization
The History of Historical-Comparative Methods
THINGS that shine and Things that are Dark (Concert)
Silent as spirit
Performance Year Zero, a living history
Political Contention and the Reconstruction of Greek Identity in Cyprus, 1960-2003
Relational Radicalization
The Relational Sociology of Charles Tilly
Det vansinniga business as usual [De nya optimisterna och Upplysningen] : [Är business as usual verkligen förnuftigt?]
miRNA-convergent gene fusions
In a recent study published in Nature Communications, we showed that intron-encoded microRNA genes (miRNA) are frequent partners of fusion genes in the cancer genome. Analyzed from a functional rather than structural perspective, these rearrangements represent a new class of fusions we called “miRNA-convergent fusions”.
Truth Tracking Performance of Social Networks: How Connectivity and Clustering Can Make Groups Less Competent
Our beliefs and opinions are shaped by others, making our social networks crucial in determining what we believe to be true. Sometimes this is for the good because our peers help us form a more accurate opinion. Sometimes it is for the worse because we are led astray. In this context, we address via agent-based computer simulations the extent to which patterns of connectivity within our social netOur beliefs and opinions are shaped by others, making our social networks crucial in determining what we believe to be true. Sometimes this is for the good because our peers help us form a more accurate opinion. Sometimes it is for the worse because we are led astray. In this context, we address via agent-based computer simulations the extent to which patterns of connectivity within our social net
Cancer cell ability to mechanically adjust to extracellular matrix stiffness correlates with their invasive potential
Increased tissue stiffness is a classic characteristic of solid tumors. One of the major contributing factors is increased density of collagen fibers in the extracellular matrix (ECM). Here, we investigate how cancer cells biomechanically interact with and respond to the stiffness of the ECM. Probing the adaptability of cancer cells to altered ECM stiffness using optical tweezers based micro-rheol
Biharmonic functions on spheres and hyperbolic spaces
We construct new explicit proper r-harmonic functions on the standard n-dimensional hyperbolic spaces H^n and spheres S^n for any r ≥ 1 and n ≥ 2.
Random geometric graphs and their applications in neuronal modelling
Random graph theory is an important tool to study different problems arising from real world.In this thesis we study how to model connections between neurons (nodes) and synaptic con-nections (edges) in the brain using inhomogeneous random distance graph models. We presentfour models which have in common the characteristic of having a probability of connectionsbetween the nodes dependent on the diRandom graph theory is an important tool to study different problems arising from real world.In this thesis we study how to model connections between neurons (nodes) and synaptic connections (edges) in the brain using inhomogeneous random distance graph models. We presentfour models which have in common the characteristic of having a probability of connectionsbetween the nodes dependent on the dis