Both decades of the 21st century have been categorized as testing the EU constitutional foundations in the course of different crises, that have been challenging the viability of the European integration and causing alterations to EU constitutional design. The rhetoric of crisis/emergency in the EU has been consistently deployed in the areas of public security, environmental protection, migration Both decades of the 21st century have been categorized as testing the EU constitutional foundations in the course of different crises, that have been challenging the viability of the European integration and causing alterations to EU constitutional design. The rhetoric of crisis/emergency in the EU has been consistently deployed in the areas of public security, environmental protection, migration

This paper analyzes the problem and requirements of securely distributing software updates over the Internet,to devices in an Industrial Control System (ICS) and more generally in Internet of Things (IoT) infrastructurescontrolling a physical system, such as power grids and water supply systems. We present a novel approachthat allows to securely distribute software updates of different types, e.g.

At present time, it has been stated that “Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020”. Therefore, understanding the consequences of human activities on present and future climate is one of the most important issues of this century. It is not the first time

BACKGROUND: Chronic kidney disease (CKD) is a common comorbidity in people with diabetes mellitus, and a key risk factor for further life-threatening conditions such as cardiovascular disease. The early prediction of progression of CKD therefore is an important clinical goal, but remains difficult due to the multifaceted nature of the condition. We validated a set of established protein biomarkers

The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv

Insights into past marine carbon cycling and water mass properties can be obtained by means of geochemical proxies calibrated through controlled laboratory experiments with accurate seawater carbonate system (C-system) manipulations. Here, we explored the use of strontium/calcium ratio (Sr/Ca) of the calcite shells of benthic foraminifera as a potential seawater C-system proxy through a controlled

Enzymes are involved in most reactions in nature. They are important both for the understanding of biological life and for reactions of industrial interest, e.g. in the production of artificial fertilizers, the production of biomass or biofuels. Enzymes with one or several metal ions are called metalloenzymes. In this thesis we study three different metalloenzymes, nitrogenase, lytic polysaccharid

We investigated whether sign-naïve learners can infer and learn the meaning of signs after minimal exposure to continuous, naturalistic input in the form of a weather forecast in Swedish Sign Language. Participants were L1-English adults. Two experimental groups watched the forecast once (N=40) or twice (N=42); a control group did not (N=42). Participants were then asked to assign meaning to 22 ta

Ascetosporea are endoparasites of marine invertebrates that include economically important pathogens of aquaculture species. Owing to their often-minuscule cell sizes, strict intracellular lifestyle, lack of cultured representatives and minimal availability of molecular data, these unicellular parasites remain poorly studied. Here, we sequenced and assembled the genome and transcriptome of Paramik

Pulmonary fibrosis is a severe condition in interstitial lung diseases (ILD) such as idiopathic pulmonary fibrosis (IPF) and systemic sclerosis-ILD, where the underlying mechanism is not well defined and with no curative treatments available. Serotonin (5-HT) signaling via the 5-HT 2B receptor has been recognized as a promising preclinical target for fibrosis. Despite this, the involvement of the

Accurate communication of the severity of violence in intimate relations is essential for the appropriate evaluation of offenders and victims in contexts such as court trials, custody cases, and the continuation of relationships. Using a new paradigm, this study quantifies discrepancies in how the severity of violence is communicated in texts written by offenders, victims, and bystanders who witne

Previous research of gender differences in power has largely focused on the public domain (e.g., leadership positions), and to a lesser extent power on the private domain (e.g., power in private relationships), where people may perceive these domains to be more or less important in their lives. We studied gender differences in preference weighted power (PWP) in different domains by weighting the p