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Objectives We aimed to compare various methods for imputing disease activity in longitudinally collected observational data of patients with axial spondyloarthritis (axSpA). Methods We conducted a simulation study on data from 8583 axSpA patients from ten European registries. Disease activity was assessed by the Axial Spondyloarthritis Disease Activity Score (ASDAS) and the corresponding low disea

Background: Corticosteroids appears to be beneficial for severe Mycoplasma pneumoniae pneumonia in children, but data in adults are limited. This study investigated effects of adjunctive corticosteroids in hypoxemic adults with M. pneumoniae pneumonia. Methods: Adults admitted 2013-2017 with verified M. pneumoniae pneumonia and hypoxemia (SpO2 < 93% or oxygen treatment) were included in a cohort.

We report the discovery and characterization of two sub-Saturns from the Transiting Exoplanet Survey Satellite (TESS) using high- resolution spectroscopic observations from the MaHPS spectrograph at the Wendelstein Observatory and the SOPHIE spectrograph at the Haute-Provence Observatory. Combining photometry from TESS, KeplerCam, LCOGT, and MuSCAT2, along with the radial velocity measurements fro

The digitalisation of courtrooms brings both opportunities and challenges to the judicial process, shaping our understandings of trials and their participants in a myriad of, at times, unexpected ways, and transforming how we participate in, attend, engage with, and consume trials. While digital tools offer potential benefits, they can also impact core aspects of judicial integrity, such as the co

In this paper, we consider real-time modelling of an underwater acoustic channel impulse response (CIR), exploiting the inherent structure and sparsity of such channels. Building on the recent development to model acoustic channels using a Kronecker structure, we propose a sparse block updating conjugate gradient algorithm. The method initially compensate for the drift common in underwater measure

We study a class of Gaussian processes for which the posterior mean, for a particular choice of data, replicates a truncated Taylor expansion of any order. The data consist of derivative evaluations at the expansion point and the prior covariance kernel belongs to the class of Taylor kernels, which can be written in a certain power series form. We discuss and prove some results on maximum likeliho

The COVID-19 pandemic has affected the entire area of health care, including care provided to patients with mental health problems. Due to the stressful nature of the pandemic, the number of patients experiencing mental health problems, especially depression or anxiety, has increased. Even well-before the pandemic, Europe struggled with a lack of mental health care, which was especially caused by

The paper examines the limits of state interference in proscribing cultural norms by considering gender discrimination, right of people to leave their community free of penalties, denying women appropriate education, and forced or arranged marriages for girls and young women. The discussion opens by reflecting on the discriminatory practices of the Pueblo tribes against their women and analysing a

Background: Aortic valve calcification (AVC) is an underlying pathophysiological mechanism in aortic stenosis, which shares many risk factors with diabetes. However, the association between dysglycemia and early stages of AVC remains unclear. The aim was to examine the associations between stages of dysglycemia and signs of AVC among middle-aged individuals from the general population. Methods: Th

Short afterword to a collection with Swedish translations of poems by Colombian poet Ángela García

Background: To raise a child with disability might present challenges and affect the functioning of the family unit. In this study, the risk of divorce for parents of children with spina bifida and the probability of having additional children were analysed. Methods: Longitudinal, matched case-control, data between 2004 and 2014 from multiple linked Swedish Population Registers were analysed using

OBJECTIVES: To reach agreement among experts on visual assessments of postural orientation errors (POEs) during the single-leg squat (SLS), and to use expert agreement assessments as ground truth for machine learning (ML) models to evaluate their ability to classify POEs.DESIGN: Methodological study with mixed-methods design.METHODS: POEs of the lower extremity and trunk were assessed from videos

Motivation can be a decisive factor in students’ learning of a foreign language. At the same time, motivation is complex, dynamic, and context sensitive (Papi & Hiver, 2020). Language teachers encounter a wide spectrum of motivational profiles among their students and need to understand the motivation process to find strategies to address students' varying levels of motivation at a given time.