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Importance: Accurate risk prediction of morbidity and mortality in patients with heart failure with preserved ejection fraction (HFpEF) may help clinicians risk stratify and inform care decisions. Objective: To develop and validate a novel prediction model for clinical outcomes in patients with HFpEF using routinely collected variables and to compare it with a biomarker-driven approach. Design, Se
Background: People with aphasia (PWA) after ischemic stroke often have difficulties in communication and social participation. To individualise rehabilitation and optimise recovery, there is a need for knowledge regarding prevalence of aphasia, and language functions in relation to long-term recovery and health-related quality of life (HRQoL). In this study, we examined these issues in a Swedish s
Music therapy is a “vocally demanding profession” [1, p. 46]. Currently, little is known about the prevalence and about the possible risk factors for voice disorders within music therapy. As music therapy workspaces may not always be ideal in terms of acoustics, the aim of the study is to investigate room acoustics and noise as risk factors for possible voice disorders among music therapists in Fi
In the last decades, the development of high-throughput molecular assays has revolutionised cancer diagnostics, paving the way for the concept of personalised cancer medicine. This progress has been driven by the introduction of such technologies through biomarker-driven oncology trials. In this review, strengths and limitations of various state-of-the-art sequencing technologies, including gene p
With continuously improving signal-to-noise ratios, a statistically sound analysis of quasi-elastic neutron scattering (QENS) spectra requires to fit increasingly complex models which poses several challenges. Simultaneous fits of the spectra for all recorded values of the momentum transfer become a standard approach. Spectrometers at spallation sources can have a complicated non-Gaussian resoluti
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)
Reliable and cost-effective operation of structural systems over their service life depends on the implementation of Structural Health Monitoring (SHM) and maintenance activities, which influence operational costs, the expected costs of failure and downtime. Decision Value Analysis (DVA) provides a framework to quantify the value of such activities by evaluating their effect on total expected life
IntroductionSport-related concussion (SRC) is a pressing issue in Para sport, yet biomechanical mechanisms remain poorly understood. Athletes with visual impairment face elevated risks due to sport-specific demands, such as frequent collisions in blind football. This pilot study examined head acceleration responses in blind football players compared with non-disabled football players, and between
IntroductionSport-related concussion (SRC) is a major health concern in contact sports. Linear head acceleration (LHA) and rotational head acceleration (RHA) are central biomechanical markers, and anticipatory neck muscle activation may mitigate these forces. Evidence on how anticipation influences head kinematics, and whether sex differences exist, remains limited. This study compared head accele
Take Home Message Using Germany as a case example, a comparison between organized mammography screening and contemporary, risk-adapted screening for prostate cancer suggests that prostate-specific antigen–based early detection with incorporation of magnetic resonance imaging and active surveillance can achieve benefits comparable to those of mammography while addressing previous concerns about ove
Background:Trauma patients present with heterogeneous injury patterns that are challenging to represent in statistical models. Traditional approaches either use high-dimensional one-hot encoding, resulting in sparse features, or aggregate injuries into summary scores that lose patient-specific detail.Objective:This study developed data-driven ICD-10 embeddings for trauma injuries and evaluated the
Aim: This paper aims to describe what constitutes good-quality, accessible, affordable and acceptable primary care for migrants. This includes identifying system adaptations and offering evidence- and practice-based recommendations and guidance for primary care organizations and professionals on how to deliver such care.Background: Migration has significantly diversified European populations. Migr
The increasing prevalence of antimicrobial-resistant bacterial infections has ushered in a major global public health crisis. Judicious or restricted antimicrobial use in animal agriculture, aiming to confine the use for the treatment of infections, is the most commonly proposed solution to reduce selection pressure for resistant bacterial strains and resistance genes. However, a multifaceted solu
Purpose: Boys with genetic syndromes have an increased risk of undescended testes (UDT), but laparoscopic findings and outcomes after two-stage Fowler-Stephens orchiopexy (FS2) are rarely reported. This study aims to compare laparoscopic findings and results after FS2 between syndromic and non-syndromic boys. Methods: A retrospective cohort study on boys with UDT who underwent laparoscopy between
Urban freight systems play an indispensable role in contemporary cities. By enabling the continuous flow of goods, they support economic activity and contribute to urban prosperity. At the same time, these activities generate substantial negative externalities, including emissions, noise, congestion and increasing pressures on urban space. As freight activities grow, their impacts intensify, under
Motivation Machine learning offers a powerful approach for building predictive models from high-dimensional molecular data. Omics technologies such as transcriptomics, proteomics, and metabolomics quantify thousands of molecules simultaneously, providing deep insights into disease biology. Integrating multiple modalities can enhance predictive performance, as shown in histology-omics and holter-om
Jerome of Stridon was one of the most important biblical exegetes in early Christianity. Analyzing letters as well as prefaces to biblical commentaries written by Jerome, this article discusses four criteria which he considered to be necessary for orthodox exegesis to take place: 1) education and learning; 2) studying the Scriptures as part of an ascetic lifestyle; 3) divine help; and 4) learning
