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Sleep problems during and after paediatric brain tumours

Brain tumours are among the most common cancer diagnoses in paediatrics. Children with brain tumours are at risk of developing sleep problems because of direct and indirect effects of the tumour and its treatment, in addition to psychosocial and environmental factors. Sleep has an important role in physical and psychological wellbeing, and sleep problems are associated with many adverse outcomes.

Channel Orthogonalization with Reconfigurable Surfaces

Orthogonal multi-user multiple-input multiple-output (MU-MIMO) channels allow for optimum performance with simplified precoding/equalization, and they achieve maximum multiplexing gain which is shared fairly among users. Reconfigurable intelligent surface (RIS) constitutes a promising cost-efficient solution to improve the wireless channel, since they consist of passive reflecting elements able to

A new user-friendly materials science end station at the FinEstBeAMS beamline of MAX IV

FinEstBeAMS is an atmospheric and materials science beamline located at the 1.5 GeV storage ring of the MAX IV Laboratory in Lund, Sweden. It offers a very wide photon energy range 4.5-1300 eV and radiation with different polarization characteristics. The beamline has three end stations installed at two branch lines. The new solid state end station (SSES) is described in this paper. It is a high-t

Coalition agreements and governments’ policy-making productivity

One of the biggest challenges parties in multiparty governments face is making policies together and overcoming the risk of a policy stalemate. Scholars have devoted much attention to the study of how various institutions in cabinet and parliament help coalition parties with conflicting policy preferences to be efficient in the policy-making process. Coalition agreements are one of many instrument

Modelling of power flow and losses in a conductive Electric Road System

As the market share of electric vehicles increases, the need for a charging infrastructure increases correspondingly. Modern Electric Road Systems is a cost effective charging infrastructure that allows electric vehicles to charge while driving and consequently allowing for smaller batteries in EVs. To assess the potential of electric road system technology, a demonstrator of conductive electric r

Compression of Activation Signals from Split Deep Neural Network

The use of artificial neural networks for the purpose of image classification, together with the advancement in computational capabilities of edge devices, plays an important role in the new emerging 5G use case scenarios. However, one of the main challenges of applications involving the use of these networks in edge devices is still the limitation of computational resources. An alternative for sa

A Theoretical Study Of Stator Flux Linkage DC Offset Based Stator Fault Detection For PMSM Drive Systems

The main focus of this paper is to establish diagnostics of stator faults of the stator windings of a Permanent Magnet Synchronous Machine (PMSM) drive system. To accomplish this objective, a new diagnostic method is proposed. In the proposed method, stator fault detection is based on the dc offset of the Stator Flux Linkage (SFL) in the antisynchronous reference frame (ASRF). The DC offset of the

NMR Studies of Aromatic Ring Flips to Probe Conformational Fluctuations in Proteins

Aromatic residues form a significant part of the protein core, where they make tight interactions with multiple surrounding side chains. Despite the dense packing of internal side chains, the aromatic rings of phenylalanine and tyrosine residues undergo 180° rotations, or flips, which are mediated by transient and large-scale “breathing” motions that generate sufficient void volume around the arom

Efficient Radial Distortion Correction for Planar Motion

In this paper we investigate simultaneous radial distortion calibration and motion estimation for vehicles travelling parallel to planar surfaces. This is done by estimating the inter-image homography between two poses, as well as the distortion parameter. Radial distortion correction is often performed as a pre-calibration step; however, accurately estimating the distortion profile without specia

The Apparent Organ-Specificity of Amyloidogenic ApoA-I Variants Is Linked to Tissue-Specific Extracellular Matrix Components

Apolipoprotein A-I (ApoA-I) amyloidosis is a rare protein misfolding disease where fibrils of the N-terminal domain of the protein accumulate in several organs, leading to their failure. Although ApoA-I amyloidosis is systemic, the different amyloidogenic variants show a preferential tissue accumulation that appears to correlate with the location of the mutation in the protein sequence and with th

The indirect association between moral disengagement and bystander behaviors in school bullying through motivation : Structural equation modelling and mediation analysis

Guided by the social-cognitive theory and self-determination theory, this study examined whether moral disengagement is indirectly associated with pro-bullying, passive bystanding, and defending, mediated by autonomous motivation, introjected motivation, extrinsic motivation, and amotivation to defend victims of bullying among early adolescents. Participants were 901 upper elementary students from

A Bedside Method for Measuring Effects of a Sedative Drug on Cerebral Function in Newborn Infants

Background: Data on the cerebral effects of analgesic and sedative drugs are needed for the development of safe and effective treatments during neonatal intensive care. Electroencephalography (EEG) is an objective, but interpreter-dependent method for monitoring cortical activity. Quantitative computerized analyses might reveal EEG changes otherwise not detectable. Methods: EEG registrations were

Using machine learning to determine acceptable levels of groundwater consumption in Iran

Groundwater footprint index (GFI) is an essential indicator to assess the sustainability of groundwater aquifers. Prediction of future GFI can significantly help managers and decision-makers of groundwater supply to better plan for future resilient consumption of surface and groundwater. In this context, artificial intelligence and machine learning models can aid to predict GFI in view of lacking

UKRAINIAN REFUGEES IN SCANDINAVIA, OR HOW TO TALK ABOUT MIGRATION WITHOUT TALKING ABOUT IT

The reaction to Russia’s full-scale invasion of Ukraine in February 2022 indicated a multiplicity of standpoints, different positionalities, and power asymmetries, in particular in the Western academy. Represen-tatives of the mainstream migration research centres as well as individual researchers, while recognising the importance of solidarity with the Ukrainian people and with Ukrainian scholars,

Minority governments in Sweden : Majority cabinets in disguise

This chapter focuses on governments in Sweden, a country which has a relatively high share of minority governments, over 70 percent, in the post-war period. Most governments formed during this period have been single-party Social Democratic cabinets, supported by one or more parties in parliament, but there have also been several cases of minority coalitions. Swedish politics has historically been

Small-scale spatial patterns of bulk atmospheric deposition

In total 14 bulk atmospheric deposition collectors were distributed over the city of Lund (about 20 km~) in the south of Sweden during September 1980 to June 1981. The observations were made to investigate small-scale spatial variability of atmospheric deposition. Monthly bulk deposition samples were analyzed for CI, Ptot, Zn, Cu, and Pb.Correlation analysis shows that the spatial scale for the va

Oxidative Stress and Its Relation to Lower Urinary Tract Symptoms

The aim of this review is to discuss how to link lower urinary tract symptoms (LUTS) and oxidative stress (OS) and to define relevant targets for therapeutic intervention. Narrative review based on published literature. Many of the multifactorial pathophysiological mechanisms behind LUTS can initiate reactive oxygen species (ROS) generation. Assuming that OS is a consequence rather than a primary

Reasoning with Expectations About Causal Relations

Reasoning is not just following logical rules, but a large part of human reasoning depends on our expectations about the world. To some extent, non-monotonic logic has been developed to account for the role of expectations. In this article, the focus is on expectations based on actions and their consequences. The analysis is based on a two-vector model of events where an event is represented in te

Determination of the Complex-Valued Elastic Moduli of Polymers by Electrical-Impedance Spectroscopy for Ultrasound Applications

A method is presented for the determination of complex-valued compression and shear elastic moduli of polymers for ultrasound applications. The resulting values, which are scarcely reported in the literature, are found with uncertainties typically around 1% (real part) and 6% (imaginary part). The method involves a setup consisting of a cm-radius, mm-thick polymer ring glued concentrically to a di