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The men who stare at slopes: reflections on resilience and knowledge production in marginalised contexts
Rezension: Fabian Fleißner: Das Präfix gi- im Althochdeutschen und Altsächsischen. Eine Neubewertung seiner Bedeutung für das Tempus- und Aspektsystem (Studia Linguistica Germanica 143). Berlin/Boston: de Gruyter 2023
Abstract PS3-08-14: TYPER — a randomized controlled trial evaluating the effect of typology-based coaching on therapy management for patients with hr+/her2- early breast cancer under adjuvant ribociclib treatment [Abstract]
A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification
Classification of tumors in neuro-oncology today relies on molecular patterns (mostly DNA methylation) and their machine learning-supported interpretation. Understanding the process of algorithmic interpretation is essential for safe application in clinical routine. This is paradigmatically true for the most common primary intracranial tumor in adults, meningioma. Here, by applying multiomic profiling and multiple lines of orthogonal computational evaluation in multiple independent datasets, we found that not only tumor cell characteristics but also incremental changes in the tumor microenvironment (TME) have impact on epigenetic meningioma classification and clinical outcome. Besides revealing the decisive role of non-neoplastic cells in the CNS methylation classifier, this challenges the model of distinct meningioma subgroups toward a TME-determined risk continuum. This refines current controversies in molecular meningioma subtyping. In addition, we apply these learnings to devise and validate a simple diagnostic approach for increased clinical prediction accuracy based on immunohistochemistry, which is also applicable in resource-limited settings
Moderne Kapellen in klassischem Holz: neue Entdeckungen zu drei der sieben Kapellen im schwäbischen Donautal
Evaluating climate change fake news in German primary education: the role of students' conceptions
The ability to critically evaluate information related to climate change and to recognise fake news is highly relevant even at primary school age, as children increasingly encounter digital media and climate-related discourses. The aim of this study is to explore primary school students’ conceptions of climate change as well as of fake news and their abilities to evaluate climate change related information, with a focus on the role of the conceptions of climate change in evaluating fake news. A qualitative cross-sectional study was conducted with 28 Year 3 and Year 4 students in Germany using problem-centred interviews and evaluation tasks in June 2025. Almost half of the students were able to describe characteristics of fake news such as manipulative intent or their lack of evidence. However, students’ conceptions of climate change varied considerably in depth and accuracy. Different types of evaluators can be identified, which vary in terms of how differentiated students’ conceptions of climate change are, how they approach the evaluation process, how many decision criteria they apply, whether or not they draw on their conceptions, and the amount of correctly identified news. The study highlights the need for targeted educational strategies to foster climate-related conceptions and evaluation skills at an early age