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Diamond X-Ray Beam Position Monitors (XBPM®) can be used at beamlines of Synchrotron Light Sources for the measurement of the beam position and beam intensity. The accurate calculation of the beam position and intensity relies on the precise and fast readout systems for the current signals of an XBPM®. XANDY, the X-Ray Beam Position Monitoring System by CIVIDEC, measures the beam position and inte
microRNAs are small RNA molecules that can repress the expression of protein-coding genes post-transcriptionally. Previous studies have shown that microRNAs can also have alternative functions, including influencing target expression variation and covariation, but these observations have been limited to a few microRNAs. Here we systematically study microRNA alternative functions in mouse embryonic
Introduction: Oral dopaminergic treatment is the cornerstone of Parkinson’s disease (PD) management. However, progressive shortening of oral levodopa’s effect, along with the limited efficacy of enzyme inhibitors and dopamine agonists, does not allow to adequately control motor and non-motor complications characterizing advanced PD. At this stage, device-aided therapies (DATs), including infusion
Obstructive sleep apnea (OSA) has been hypothesised to promote cancer via intermittent hypoxia, and assessing what happens when OSA is controlled by continuous positive airway pressure (CPAP) may provide valuable insight. We conducted a meta-analysis of three randomised controlled trials (SAVE, RICCADSA, ISAACC) assessing cancer incidence from adverse event data on neoplasms among OSA patients ran
Alzheimer’s disease (AD) is the most common neurodegenerative disorder, affecting millions worldwide. The clinical presentation of AD is heterogenous and often complicated by the presence of multiple co-pathologies, which can overlap with features of other neurodegenerative disorders, underscoring the need for tools to aid accurate and timely diagnosis. Biomarkers for AD span multiple modalities a
We provide the theoretical foundation for the recent tests of equal forecast accuracy and encompassing by Pitarakis (2023) and Pitarakis (2025), when the competing forecast specification is that of a factor-augmented regression model. This should be of interest to practitioners, as there is no theory justifying the use of these simple and powerful tests in such a context. In pursuit of this, we em
Efficient management of on-demand delivery systems is essential for modern urban logistics, especially in densely populated cities with complex spatial layouts. This study introduces a novel, computer-supported cooperative framework that utilizes Infomap-based hierarchical community detection to analyze spatial multilevel clustering patterns. The experiment was conducted to large scale on-demand d
Background: A wrist-worn wearable device for acquiring limb and chest ECG leads (wECG) may constitute a promising approach to detection of acute myocardial infarction (AMI). However, it remains to be demonstrated whether the information conveyed by the wECG is sufficient for AMI detection. Objective: To explore explainable machine learning models for detecting AMI using the wECG. Methods: Two type
The aim of this study was to describe prerequisites for online collaboration for user participation in co-design of online digital services as perceived by people with impairments and to develop requirements for how online collaboration should be designed to be accessible for all participants. An exploratory study was conducted in parallel to activities in two co-design projects. Researchers, acce
This paper introduces a novel diffusion-based method for learning representations from categorical data. Conditional diffusion models have demonstrated their potential to extract meaningful representations from input samples. However, they often struggle to yield versatile, multi-task information, limiting their adaptability to unforeseen tasks. To address this, we propose a cycle conditioning app
While fungal necromass is increasingly recognized as a major source of persistent carbon (C) in soils, the relative functional roles of bacteria and fungi in decomposing necromass are not fully resolved, and the processes that select for necromass decomposer communities from the broader soil microbial community are an emerging area of interest. In this study, we characterized the growth of 52 bact
ISSUES: Although alcohol consumption is linked to atrial fibrillation (AF), the relationship across different intake levels and between sexes remains unclear. This study presents the first network meta-analysis of prospective cohort studies bringing greater precision to these associations.APPROACH: A systematic review identified five meta-analyses on alcohol and AF risk. From these, 13 cohort stud
This is the first comprehensive checklist and conservation assessment of the bee (Hymenoptera: Apoidea) fauna of the State of Vermont. This checklist of 351 species (plus 1 morphospecies) is based on 79,206 open-access data records available from the Global Biodiversity Information Facility (GBIF), nearly all (98%) of which were identified by an author or trusted collaborator, including 100% of th
Multiple myeloma (MM) is the second most common hematological malignancy, characterized by a clonal expansion of malignant plasma cells in bone marrow. Monoclonal gammopathy of undetermined significance (MGUS) is the premalignant condition of MM. The tumor microenvironment is thought to influence the progression from premalignant conditions. Myeloid-derived suppressor cells (MDSCs) are a heterogen
BACKGROUND: The involvement of the complement system in anti-glomerular basement membrane (GBM) disease is well known but incompletely characterized. The ability of autoantibodies to trigger the classical pathway is evident, while the lectin and alternative pathways also seem to be of importance. We studied complement activation in patients treated with imlifidase, which leads to rapid IgG depleti
Inferring the causal structure underlying stochastic dynamical systems from observational data holds great promise in domains ranging from science and health to finance. Such processes can often be accurately modeled via stochastic differential equations (SDEs), which naturally imply causal relationships via 'which variables enter the differential of which other variables'. In this paper, we devel
