Aim: To investigate underlying factors for previously reported shortcomings in child health centres' (CHC) referral process of boys with undescended testicles. Methods: A total of 386 physicians working at Swedish CHCs were surveyed regarding their knowledge about undescended testicles and their clinical management. Multivariate regression analyses were performed to identify risk factors of non-ad

Gene expression has a key role in reproductive isolation, and studies of hybrid gene expression have identified mechanisms causing hybrid sterility. Here, we review the evidence for altered gene expression following hybridization and outline the mechanisms shown to contribute to altered gene expression in hybrids. Transgressive gene expression, transcending that of both parental species, is pervas

Background Cardiovascular disease (CVD), type 2 diabetes (T2DM), and atrial fibrillation (AF) collectively impact millions globally, necessitating a comprehensive understanding of preceding metabolic alterations for early intervention. This thesis aims to explore metabolic shifts across populations-based cohorts and evaluate the metabolic impact of a dietary intervention. Method Utilizing liqui

Objective: There is an increased risk for cardiovascular disease (CVD) in patients with radiographic axial spondyloarthritis (r-axSpA). In this cross-sectional study, we aimed to, overall and stratified by sex, (i) compare ultrasound derived carotid intima media thickness (cIMT), between patients and controls, and (ii) investigate associations between cIMT, clinical disease activity and inflammati

Symptoms associated with pulmonary arterial hypertension (PAH) or chronic thromboembolic pulmonary hypertension (CTEPH) impact patient's health-related quality of life (HRQoL). Studies on change and if a minimal clinically important difference (MCID) in HRQoL is reached within a year after diagnosis are lacking. The aim was to investigate the change in HRQoL as well as the proportion of patients t

This study aimed to measure validity and reliability of the Persian version of the Cyber-Bullying/Victimization Experience Questionnaire (CBVEQ) among Iranian adolescents. This cross-sectional validation study was conducted on Iranian adolescents between January 2022 and September 2022. Online questionnaires were completed by a total of 1439 Iranian high school students, with an age range of 14–18

We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A FLEXPART simulation requires meteorological input from a numerical weather prediction (NWP) model. The publicly available version of FLEXPART can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System

Risk assessment of pesticide impacts on remote ecosystems makes use of model-estimated degradation in air. Recent studies suggest these degradation rates to be overestimated, questioning current pesticide regulation. Here, we investigated the concentrations of 76 pesticides in Europe at 29 rural, coastal, mountain, and polar sites during the agricultural application season. Overall, 58 pesticides

Neutrophil gelatinase-associated lipocalin (NGAL) is a novel kidney injury and inflammation biomarker. We investigated whether NGAL could be used to predict continuous renal replacement therapy (CRRT) and mortality in critical coronavirus disease 2019 (COVID-19). This prospective multicenter cohort study included adult COVID-19 patients in six intensive care units (ICUs) in Sweden between May 11,

In the mining industry, flotation is a commonly used process to separate valuable minerals from waste rock in a concentrator. The rougher flotation is the first stage of the process and in Boliden AB’s concentrator at Aitik, it consists of two lines of four flotation cells each. In this paper we consider one line and the buffer tank upstream of it. Modeling this process step, and maintaining an up

There is currently a great need for rigid, high-performance and processable bio-based polymers and plastics as alternatives to the fossil-based materials used today. Here, we report on the straightforward synthesis and polymerization of lignin-derived methacrylate monomers based on the methyl esters of syringic, vanillic, and 4-hydroxybenzoic acid, respectively. The corresponding homopolymethacryl

This open-access book provides fresh and much-needed insights into the interconnections between law, society and governance in Central Asia. By taking the interdisciplinary perspective of law and society, the book explores the social life of law and legal institutions in Central Asia in broader terms, encompassing not only the state legal system and institutions but also various informal (non-lega

This study assesses the impact of NATO socialization upon an ’outsider’ country, using Sweden in the area of civil defence as a case study. Relying on 33 interviews from 2020 and 2022 with civil servants from Swedish government agencies, the article gives a unique empirical account of practitioners’ perceptions on the interactions (or the absence thereof) with NATO prior to Sweden’s NATO membershi

OBJECTIVE: To explore associations of HLA class II genes (HLAII) with the progression of islet autoimmunity from asymptomatic to symptomatic type 1 diabetes (T1D).RESEARCH DESIGN AND METHODS: Next-generation targeted sequencing was used to genotype eight HLAII genes (DQA1, DQB1, DRB1, DRB3, DRB4, DRB5, DPA1, DPB1) in 1,216 participants from the Diabetes Prevention Trial-1 and Randomized Diabetes P

A generalized constitutive relation error is proposed in an analogous form to Fenchel-Young inequality on the basis of the key idea of Legendre-Fenchel duality theory. The generalized constitutive relation error is linked with the global errors of some admissible solutions for the problem in question, and is of wide applicability, especially in a posteriori error estimations of numerical methods.

As a generalization of the work in [Lee et al., 2017], this note briefly discusses when the prior of a neural network output follows a Gaussian process, and how a neural-network-induced Gaussian process is formulated. The posterior mean functions of such a Gaussian process regression lie in the reproducing kernel Hilbert space defined by the neural-network-induced kernel. In the case of two-layer

The development of physics-informed deep learning is radically changing compu-tational science and engineering, allowing for an effective integration ofphysics-based and datadriven modeling. Deep learning provides a powerful tool forthe discovery of governing dynamics underneath data and enables nonlinear model-reduction. A Bayesian viewpoint of deep learning is discussed in this chapter towards t