Johannes Kepler University of Linz

Well-being in digital-free tourism: A mixed-methods rhythmanalysis

Tourism research has largely treated well-being as a motivation or outcome, neglecting how it unfolds in-situ and relying on self-report data. Through a mixed-methods rhythmanalysis, this study examines how well-being emerges and evolves in digital-free tourism. Following 23 part...

Vitamin D status and adiposity in children with low-energy fractures: a prospective case–control study

Fractures in children are influenced by both skeletal biology and mechanical factors. While alterations in vitamin D and other metabolic markers have been proposed as contributors to fracture risk, their role in predicting fractures in otherwise healthy pediatric populations rema...

Qualification of a Swellable Hydrogel–Silicone Bimorph for Implantable Actuation

To improve the structural adaptability and biological suitability of cochlear implant electrode carriers, this study systematically develops and evaluates novel 3D-printed, swellable hydrogel–silicone composites. A vinylphosphonic acid–acrylamide hydrogel powder (VPA-AAm) was pre...

Intratumoral desmoplastic stroma in carcinoma brain metastases harbors stromal cells with a cancer-associated fibroblast (CAF)-like immunophenotype

Abstract Background Research on the tumor microenvironment of brain metastases (BM) has largely focused on immune response, while the intratumoral stromal compartment remains poorly characterized. In primary carcinomas, cancer-associated fibroblast (CAF) are intratumoral stromal...

Cutaneous Lymphoma International Prognostic Index and Risk Stratification in Advanced Mycosis Fungoides and Sézary Syndrome

Importance Risk stratification in advanced mycosis fungoides and Sézary syndrome (MF/SS) remains suboptimal given that current TNMB (tumor, node, metastasis, blood) staging has limited prognostic value for clinically relevant outcomes. Objective To determine whether the Cutaneous...

Why Some Gestures Work Better than Others: Toward a Model of Gesture-Supported Vocabulary Learning

Abstract Gesture has emerged as a powerful multimodal tool in vocabulary acquisition, with converging behavioral and neuroscientific evidence for its facilitative role in second language (L2) vocabulary learning. Yet in both instructional practice and experimental research, gestu...

Understanding Genomic Instability Score in Platinum-Treated Advanced Pancreatic Ductal Adenocarcinoma

Background/Objectives: First-line treatment selection for advanced (locally advanced or metastatic) pancreatic ductal adenocarcinoma (PDAC) is currently based on clinical characteristics rather than predictive biomarkers. While homologous recombination deficiency (HRD) is associa...

Dynamic Covalent Lewis Pair Grafting Enables Spontaneous Linear-to-Bottlebrush Polymer Assembly and Adaptive Elastomers

Abstract Bottlebrush and comb-graft polymers, macromolecules with densely grafted side chains along a central backbone, exhibit distinctive conformational, rheological, and self-assembly behaviors. Although these architectures are widely used to tune mechanical responses, most re...

Beyond the Top-Ranked Pose: Validity, Ranking Depth and Cost in Blind Docking

Learned and search-based docking are often compared on the top-ranked pose alone. On 303 benchmark complexes, each ligand was docked against its whole receptor with three configured pipelines, namely AutoDock Vina with gnina rescoring (AutoDock), the diffusion model DiffDock-L wi...

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data

Generative machine learning models offer a powerful framework for therapeutic design, by efficiently exploring large spaces of biological sequences enriched for desirable properties. Unlike supervised learning methods, which require both positive and negative labeled data, genera...

Capabilities, use and benefits from business analytics in management control: The crucial role of organizational size and data science departments

High expectations are placed on business analytics (BA) for management control (MC) departments. However, empirical evidence on benefits from BA for MC departments is scarce and ambiguous. We thus examine whether and how the extent of BA capabilities (BAC) and the extent of BA us...

Exploring inductive transfer approaches for machine learning based rainfall-runoff modelling

Machine learning has become an increasingly important approach for rainfall–runoff prediction, where accurate modelling is often constrained by limited training data and the need for robust generalisation. Inductive transfer techniques offer a promising means of improving model p...

Becoming a grandparent and worrying about the environment and climate change: evidence from German panel data

Abstract Climate change poses an intertemporal and intergenerational dilemma: the costs of mitigation are often borne today but benefit future generations, potentially creating intergenerational conflicts and challenging climate policies. Conversely, delaying or insufficient clim...

Long-term survival after allogeneic stem cell transplantation in patients with acute myeloid leukemia

Abstract Allogeneic hematopoietic cell transplantation (HCT) is the only curative treatment for patients with higher-risk acute myeloid leukemia (AML), but survival is limited by recurrent malignancy and complications such as organ toxicity and infections. This study evaluated ov...

Contamination levels in polypropylene waste streams throughout a mechanical recycling process

Abstract Mechanically recycled plastic dominates the recycled plastics market, yet its suitability for food-contact applications depends on effective decontamination. This study provides industrial-scale data on decontamination throughout the mechanical recycling of post-consumer...

Feasibility of Electrode-Location Estimates Based on Preoperative CT-Imaging for Anatomy-Based Fitting in Cochlear Implant Recipients

OBJECTIVES: To investigate whether there is a difference between electrode frequencies estimated in OTOPLAN according to anatomy using a preoperative CT scan and electrode frequencies based on postoperative cone beam computer tomography (CBCT). STUDY DESIGN: Monocentric retrospec...

“I Will Keep My Convictions, My Conscience, My Sense of Responsibility, and My Philanthropy”

There is a lack of research about disabled people’s resistance in the Nazi era, as well as research from the perspective of disabled people. The article explores the resistance of a Jewish disabled person in Theresienstadt—referred to by the Nazis as a “ghetto,” but in reality fu...

Incidence and epidemiology of out-of-hospital cardiac arrest in Upper Austria

Summary Objective To determine the incidence and epidemiology of out-of-hospital cardiac arrest (OHCA) with resuscitation attempts by emergency physician teams in Upper Austria. Methods This multicenter, retrospective study included all OHCA cases attended by all 22 physician-sta...

Measuring AI Progress in Drug Discovery: A Reproducible Leaderboard for the Tox21 Challenge

Abstract Deep learning has fundamentally transformed fields such as computer vision and natural language processing since the early 2010s and has strongly influenced biomedical research. For drug discovery specifically, a key inflection point─akin to vision’s “ImageNet moment”─ar...

Duration of Resuscitation and Survival of Pediatric Traumatic Cardiac Arrest

Objectives: To evaluate the association between resuscitation duration and survival from pediatric traumatic cardiac arrest (TCA). Methods: A meta-analysis was conducted. CENTRAL, MEDLINE, and EMBASE were searched from January 1, 2000, to January 31, 2026. Eligible studies includ...