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Rules of engagement - Regulation of complement response in tissue

Always in motion and probing for danger, complement proteins are found in every space and notch of the body. Their omnipresence combined with an ability to wreak havoc when activated, mandates a strong leash! The how, when, and where to unleash or constrain the complement response remain partly answered questions, despite the significant progress made in the field in the past 100 years.The work in

Working towards paradise; an interdisciplinary theoretical framework for environmental peacebuilding

Exploring the human-environment nexus and linkages between (post-conflict) political developments and environmental dimensions, this paper reflects on the development of interdisciplinary theories of environmental peacebuilding. Theories of environmental peacebuilding come from a variety of different disciplines within the social and biophysical sciences; warfare ecology (Machlis et al. , 2011), e

Every day peace: the ignored role of Civil Society in the Syrian Uprising

This paper discusses the role of civil society in the Syrian war between 2012 and 2016, specifically in the so-called "liberated areas" under the control of the Free Syrian Army and the Syrian opposition. A postdoctoral research project of Copenhagen University between 2014 and 2016, has investigated the role of citizen video journalists and peaceful activists in the Syrian uprisings. Responding t

Occupational exposure to organic solvents and risk of male breast cancer : A European multicenter case-control study

Objectives The etiology of male breast cancer (MBC) is largely unknown but a causal role of exposure to organic solvents has been suggested. Previous studies on occupational risk factors of breast cancer were often restricted to women who are frequently exposed to lower levels and at a lower frequency than men. We investigated the association between MBC and occupational exposure to petroleum and

A multi-omic study reveals BTG2 as a reliable prognostic marker for early-stage non-small cell lung cancer

B-cell translocation gene 2 (BTG2) is a tumour suppressor protein known to be downregulated in several types of cancer. In this study, we investigated a potential role for BTG2 in early-stage non-small cell lung cancer (NSCLC) survival. We analysed BTG2 methylation data from 1230 early-stage NSCLC patients from five international cohorts, as well as gene expression data from 3038 lung cancer cases

Waste policies gone soft : An analysis of European and Swedish waste prevention plans

This paper presents an analysis of European and Swedish national and municipal waste prevention plans to determine their capability of preventing the generation of waste. An analysis of the stated objectives in these waste prevention plans and the measures they propose to realize them exposes six problematic features: (1) These plans ignore what drives waste generation, such as consumption, and (2

Striking difference in response to expanding brood parasites by birds in western and eastern Beringia

Two species of obligate brood-parasitic Cuculus cuckoos are expanding their ranges in Beringia. Both now breed on the Asian side, close to the Bering Strait, and are found in Alaska during the breeding season. From May to July 2017, we used painted 3D-printed model eggs of two cuckoo host-races breeding in northeastern Siberia to test behavioral responses of native songbirds on both sides of the B

« For the women » - In Memoriam Simone Veil (1927-2017)

This In Memoriam presents the life of Simone Veil, an influential French politician, remembered for a law that made abortion legal in 1974. Simone Veil's contribution to the rights of women is featured as an instance of parrhesia (Foucault, 2011) that was able to establish a new regime of truth about the body, sexuality, and reproductive capacities of French women.

Reinforcement Learning for 4-Finger-Gripper Manipulation

In the framework of robotics, Reinforcement Learning (RL) deals with the learning of a task by the robot itself. This paper presents a hierarchical planning approach in which the robot learns the optimal behavior for different levels. For high-level discrete actions, Q-learning was chosen, whereas for the low level we utilize Policy Improvement with Path Integrals (PI^2) algorithm to learn the par