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The potential catastrophic event of a landslide bringing contaminants to surface waters has been highlighted in public media, but there are still few scientific studies analyzing the risk of landslides with contaminated soil. The aim of this study is to present a method to estimate the risk of potential long-term ecological effects on water bodies due to contaminated soil released into a river thr
We present the robot developed within the Hobbit project, a socially assistive service robot aiming at the challenge of enabling prolonged independent living of elderly people in their own homes. We present the second prototype (Hobbit PT2) in terms of hardware and functionality improvements following first user studies. Our main contribution lies within the description of all components developed
BACKGROUND AND OBJECTIVE: Infection after transrectal prostate biopsy (TPBx) is a well-known risk. A comprehensive investigation of risk factors may identify measures for safe TPBx as an alternative to a change in biopsy route. The aim of this study was to identify risk factors for infection after TPBx.METHODS: We included all outpatient TPBx cases in Region Kronoberg, Sweden, from January 2010 to
A statistical combination of various searches for pair-produced leptoquarks is presented, using the full LHC Run 2 (2015–2018) data set of 139 fb−1 collected with the ATLAS detector from proton–proton collisions at a centre-of-mass energy of s=13 TeV. All possible decays of the leptoquarks into quarks of the third generation and charged or neutral leptons of any generation are investigated. Since
Source-separated sanitation and greywater treatment have become an increasingly attractive alternative to traditional waste-water management systems in recent years due to their potential to combat water scarcity, ease resource recovery, and meet tightening effluent demands. In Helsingborg, Sweden, source-separated wastewater from the new city district of Oceanhamnen is being collected and treated
Many important problems involving a group of unmanned ground vehicles (UGVs) are closely related to the multi traviling salesman problem (m-TSP). This paper comprises a comparative study of a number of algorithms proposed in the litterature to solve m-TSPs occuring in robotics. The investigated algoritms include two mixed integer linear programming (MILP) formulations, a market based approach (MA)
The paper introduces a new device for analyzing, teaching, and training jaw movements: the MARRYS helmet. We outline the motivation for the development of the helmet, describe its key advantages and features relative to those of the Electromagnetic Articulograph (EMA) and illustrate by means of selected study portraits the possible uses of the MARRYS helmet in the various fields of the empirical a
The vision of birds has been extensively studied, and alot is known about what they are able to see contrast sensitivity and acuity, in different light intensities, is known Still, visual perception depends on a combination of many stimulus parameters, which can make it difficult to predict the visibility of ecologically relevant stimuli.In this doctoral thesis I have investigate visual thresholds
IMPORTANCE An accurate prognosis is especially pertinent in mild cognitive impairment (MCI), when individuals experience considerable uncertainty about future progression. OBJECTIVE To evaluate the prognostic value of tau positron emission tomography (PET) to predict clinical progression from MCI to dementia. DESIGN, SETTING, AND PARTICIPANTS This was a multicenter cohort study with external valid
In this article, we propose a post-processing scheme for the novel volumetric microscopy technique SILMAS. We demonstrate this scheme on data from an alpha-synuclein transgenic mouse brain. By combining structured illumination and axial sweeping, a SILMAS measurement provides a prerequisite for quantitative data extraction through improved contrast and optical sectioning. However, due to the techn
The term ‘artificial intelligence’ has arguably come to function in political discourse as, what Laclau called, an ‘empty signifier’. This article traces the shifting political discourse on AI within three key institutions of global governance–OHCHR, WHO, and UNESCO–and, in so doing, highlights the role of ‘crisis’ moments in justifying a series of pivotal re-articulations. Most important has been
Brazil has faced severe droughts in recent decades, significantly affecting agriculture, water supply, and hydropower generation, among other sectors. The Paraná River Basin, a major hub for hydropower, has been particularly affected, posing challenges for water management. To address this, we conducted a study to provide tailored climate information for the Brazilian hydroelectric sector. Given t
A computer-assisted language learning software for mobile devices (MAC) is presented, that was aimed to helping speakers acquire speech contrasts not native to their own language. The software is based on the high variability phonetic training (HVPT) technique. An overview of the software is given, followed by results from an efficacy study. Two groups using slightly different variations of the MA
Established in 2015, the Multi-Stakeholder Engagement (MuSE) Consortium is an international network of over 120 individuals interested in stakeholder engagement in research and guidelines. The MuSE group is developing guidance for stakeholder engagement in the development of health and healthcare guideline development. The development of this guidance has included multiple meetings with stakeholde
Normalizing flows (NFs) have been shown to be advantageous in modeling complex distributions and improving sampling efficiency for unbiased sampling. In this work, we propose a new class of continuous NFs, ascent continuous normalizing flows (ACNFs), that makes a base distribution converge faster to a target distribution. As solving such a flow is non-trivial and barely possible, we propose a prac
This paper forms part of a broader study on the design and optimisation of a high speed switched reluctance motor (SRM) for hybrid-electrical automotive traction applications. The main focus of this particular paper is to explain the design optimisation methodology followed. Furthermore, the main aim of the motor design is to push the power density of the SRM as high as possible. This leads to num
