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BACKGROUND: Predicting major post-operative complications is an important task for which simple and reliable methods are lacking. A simple scoring system based on intraoperative heart rate, blood pressure and blood loss was recently developed to fill this gap. This system, the Surgical Apgar Score, shows promising results both in terms of validity and in terms of usefulness. The goal of this study
This doctoral dissertation comprises three independent essays which cover different aspects of the currency market.The first paper, Long-run and short-run risk premium in currency market, investigates the risk premium of the long-run and short-run volatility component of exchange rate returns in the currency market. The results indicate that the risk price of long-run volatility innovation is sign
PURPOSE: Conventional computed tomography (CT) images are severely affected by metal artifacts in patients with intracranial coils. Monoenergetic images have been suggested to reduce metal artifacts.The aim of this study was to assess metal artifacts in virtual monoenergetic images (VMIs) reconstructed from spectral brain CT.METHODS: Thirty-two consecutive patients with intracranial coils examined
Är doktrinen om ”alla människors lika värde” tillämpbar också på framtida, ännu icke levande personer? Artikeln argumenterar för ett jakande svar och ger därmed ett bidrag till hur denna vanliga moraliska övertygelse ska förstås och ger dessutom nya argument för omsorg gentemot framtida personer. Doktrinen tolkas som en kritik av handlingar och situationer snarare än som en fullständig värdering a
Population ageing is a fact of all advanced economies. Fewer people are born all the while current members live longer. The support which old people have come to depend on, for example through elderly care and pensions, thus becomes increasingly expensive. This accentuates an assurance problem. Although it has been and still is the case that the young are willing to support the currently old, this
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
