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Performance featuring spherical amplification.Aktionshalle Stanzerei, Baden (CH)Ensemble für neue Musik Zürich06/11/2024From the Program:Haas, Lorenz (*1968, CH) – Nichts Schöneres (a Schumann song recital in fourteen scenes for seven instruments and voice) [2024]
The aim of this study was to assess to what extent receptive vocabulary could be explained by morphological knowledge, language majority/minority background and socioeconomic status (SES) for Swedish 8–11-year-old children. A total of 89 children participated, of whom n = 47 were L1 speakers (language majority) and n = 42 were L2 speakers (language minority). Morphological knowledge (MK) was asses
Background: Kidney transplant recipients after kidney transplantation may develop transplant renal artery stenosis (TRAS). Multiple studies have sought to identify risk factors, yet the findings remain inconsistent. Methods: PubMed, Scopus, and Web of Science Core Collection were comprehensively searched to retrieve studies. The 1st screening phase required studies to be in English and evaluate pa
Background: The potential of generative artificial intelligence (genAI) tools, such as ChatGPT, is being increasingly explored in healthcare settings. However, the same tools also introduce significant cybersecurity risks that could compromise patient safety, data integrity, and institutional trust. This study aimed to examine real-world security breaches involving genAI and extrapolate their pote
The tax system is essential for financing our public welfare and the public sector. The tax system and its capacity to generate tax revenue typically reflect the structure of the economy and as the economy changes the tax system needs to adapt. This anthology brings together different perspectives on how digitalization changes or may change the conditions for how the tax ecosystem functions, from
Background: Virtual imaging trials (VITs) are in silico studies that simulate medical imaging and disease processes, offering a cost-effective and reproducible addition to traditional imaging trials. While VITs are well established in breast imaging, most existing implementations simulate imaging based on static anatomical models, capturing only a single time point. This limits their ability to st
Oily wastewater presents a serious environmental challenge, demanding sustainable and regenerative membrane technologies. Here, we report a green and scalable method for fabricating skin-replaceable cellulose membranes (SRC-M) from jute agro-waste, using a NaOH/urea activation route and argon-pressurized deposition onto ceramic supports. The resulting Cellulose II-based asymmetric membranes exhibi
This chapter will describe how educators can use uncertainty field books to explore students’ experiences as they navigate in complex and uncertain knowledge and information spaces, to engage others, and to start, grow and sustain movements for change using the groaning in the groan zone. In describing the field book, method and practice, but foremost students’ narratives, the chapter sets it up a
Background: Health system performance assessment helps identify areas for improvement and guides policy initiatives. Although well-validated indicators exist for measuring organ donation and transplantation performance at the facility level, consensus on indicators for assessing national programmes is lacking. The aim of this study was to develop a comprehensive scorecard for evaluating national o
Accumulation of acetate is a limiting factor in recombinant production of (R)-3-hydroxybutyrate (3HB) by Escherichia coli in high-cell-density processes. To alleviate this limitation, this study investigated two approaches: (i) deletion of phosphotransacetylase (pta), pyruvate oxidase (poxB), and/or the isocitrate lyase regulator (iclR), known to decrease acetate formation, on bioreactor cultivati
Chronic obstructive pulmonary disease (COPD) and asthma are heterogeneous respiratory diseases with overlapping symptoms but distinct underlying biology. As both diseases involve dysregulated inflammatory signalling, identifying disease- and compartment-specific pathways and biomarkers could improve diagnosis and treatment. A disintegrin and metalloproteinase 17 (ADAM17) is a key sheddase that inf
Introduction: Oesophageal resection carries significant morbidity and mortality. Artificial intelligence (AI) advances in medical research enable enhanced predictions, flexibility, and interpretability, especially for complex interactions and nonlinear relationships. Material and methods: We used a register-based case-control design nested within prospectively collected data from the Swedish Natio
PURPOSE: Provision of adequate support is much needed to secure equal educational opportunities for students with developmental language disorder (DLD). Important perspectives on support provision and its impact on academic progress are held by school professionals, caregivers, and students with DLD. This study sought to further the current knowledge on the perceived relation between educational s
Background and purpose: Stereotactic radiosurgery (SRS) requires high positional accuracy to safely deliver large doses. This study evaluated an integrated surface- and image-guided radiotherapy (SGRT-IGRT) system by analysing (1) the agreement between thermo-optical and stereoscopic X-ray positioning, and (2) the impact of intra-fractional workflows on treatment accuracy and time. Materials and m
We show exponential lower bounds on resolution proof length for pigeonhole principle (PHP) formulas and perfect matching formulas over highly unbalanced, sparse expander graphs, thus answering the challenge to establish strong lower bounds in the regime between balanced constant-degree expanders as in [Ben-Sasson and Wigderson’01] and highly unbalanced, dense graphs as in [Raz’04] and [Razborov’03
AIMS: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging, particularly in older individuals. We hypothesized that machine learning (ML) approaches could improve diagnostic accuracy compared with HFpEF scores.METHODS: We evaluated the diagnostic performance of four supervised ML algorithms (random forest [RF], extreme gradient boosting [XGBoost], support vector ma
We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr
