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The Covid-19 Lesson from Sweden: Don’t Lockdown

The coronavirus pandemic triggered strong political action across Europe. Mandatory restrictions to increase social distancing were imposed, commonly known as lockdowns. In some cases, entire countries were virtually locked down for several weeks at a time, contributing to a very severe downturn in economic activity. To mitigate the policy induced economic crisis, governments responded by introduc

The effect of the recombination rate between adaptive loci on the capacity of a population to expand its range

Previous theoretical work on range expansions over heterogeneous environments showed that there is a critical environmental gradient where range expansion stops. For populations with freely recombining loci underlying the trait under selection (hereafter, “adaptive loci”), the critical gradient in one-dimensional habitats depends on the fitness cost of dispersal and the strength of selection relat

Critical Scaling in Particle Systems and Random Graphs

The purpose of this thesis is to study the behavior of macro-systems through their micro-parameters. In particular, we are interested in finding critical scaling in various models.Paper I investigates the influence of discrete-time collisions on particle dynamics. By analyzing two models — one involving external forces and friction, and another incorporating collisions with lighter particles — a n

“I chose the profession of theater not merely as a mode of artistic expression but as a way to participate in society.”

The practice of polymath Shūji Terayama (1935–1983) began with the poetry for which he first became known in his native Japan. However, it is the consequences of the collective as encountered in his films and plays that has framed and informed two collaborations by artists Matthew Lutz-Kinoy (b. 1984, US) and Tobias Madison (b. 1985, Switzerland), first at Kunsthalle Zurich last year and then this

In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?

Machine learning is becoming an increasingly common component of routine data analyses in clinical research. The past decade in pain research has witnessed great advances in human neuroimaging and machine learning. With each finding, the pain research community takes one step closer to uncovering fundamental mechanisms underlying chronic pain and at the same time proposing neurophysiological bioma

Implementing Telemedicine During the COVID-19 Pandemic: Disparities in Utilization in an Urban Pain Medicine Practice

Purpose: The COVID-19 pandemic led to a drastic expansion in utilizing telemedicine, circumventing some of the geographical barriers to accessing pain care. However, uncertainties around the impact of telemedicine across various sociodemographic groups still exist, prompting further exploration. Therefore, this study aimed to evaluate the impact of sociodemographic factors in telemedicine utilizat