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Proteoglycans with their attached negatively charged glycosaminoglycans (GAGs) play a crucial role in proper tissue morphology and function throughout the body. Their complex meshwork exists either as thin sheet-like basement membranes lining epithelial cells as in airway bronchial and alveolar epithelial tissue or as a meshwork-like interstitial extracellular matrix (ECM) that forms porous three-

Smooth muscle cell–related transcription factors have been associated with coronary artery disease in large genome-wide association studies, increasing their translational value for therapeutic investigations. Our study shows for the first time that FOXC1 is a major transcriptional regulator in vascular injury and atherosclerotic lesions, causally implicated in the disease. Functionally, our data

With climate change and urbanisation increasing wildfire risk in the wildland–urban interface (WUI), enhancing community evacuation preparedness is crucial. This study evaluates different data collection methods for measuring traffic flows during a community wildfire evacuation drill in Roxborough Park, Colorado, in June 2024. A multi-method strategy was applied, including drone footage, human obs

The development of longitudinal diagnostics for short-pulse electron accelerators is challenging but necessary to provide high-brightness electron bunches. This is equally true in novel plasma accelerators and for free electron lasers. The gold standard for such measurements is the transverse deflecting cavity (TDC); however, these devices are typically invasive and costly to produce and operate.

Agroforestry systems – combining trees with crops and/or livestock – are increasingly promoted as sustainable and climate-resilient land-use strategies. Despite their widespread presence in the Sahel, experimental data on their potential as carbon sinks are scarce. This study presents a full-year, high-frequency dataset of CO2 fluxes in a Sahelian agro-silvo-pastoral parkland dominated by Faidherb

During land model development, simulated carbon dynamics are often benchmarked against observational data sets to evaluate model performance. Functional relationship benchmarks are the relationship between a driving variable (e.g., temperature) and a response variable (e.g., ecosystem respiration) and are a promising tool for assessing model performance by evaluating modeled sensitivities to chang

The paper relates to the use of Generative Artificial Intelligence in software engineering practice. The nature of Generative Artificial Intelligence is introduced. Drawing upon the literature of the field, the positive benefits of AI use are considered and discussed in relation to some of the drawbacks and challenges involved. The discussion then moves on to examine the views of professionals, as

Educational drama is a proven method for anti-bullying education, but its traditional reliance on teachers and peers limits its accessibility to children and families outside of school. HCI has rarely explored how to augment this practice with AI-infused, interactive role-playing or how to involve parents in the process. We introduce DOLLama, an AI-powered projection-augmented interactive system t

Alternative Food Networks are an important reaction to the global food system, and an abundant literature already debates the nature and significance of these different ways of organizing the production and exchange of food. Much of this discussion pivots around whether AFNs offer an alternative to how the food system is organised by the market. Nonetheless, the very notion of what it means for an

Focusing specifically on the speech act of advice, the present study investigates the role of democratization, or the flattening of social hierarchies, in the use and development of modal verbs in Present-Day spoken British English. In contrast to previous research, which so far has investigated English modality across a variety of speech acts, this study provides a more controlled environment for

Introduction Breathlessness limits exercise training intensity in people with chronic lung disease (CLD). Stimulation of the trigeminal nerve via fan-to-face (F2F) therapy (facial airflow) can reduce exertional breathlessness and improve exercise endurance in CLD. This randomised controlled trial tested the hypothesis that adding F2F therapy to an exercise training programme could enhance the bene

Nutritional ecology is a key determinant of bee health, yet species-specific preferences and how bees respond nutritionally to real-world pesticide exposure remain unclear. We collected pollen stores from three managed bee species in 128 sites across two widespread agro-ecosystems (i.e., oilseed rape fields and apple orchards) in eight European countries. We measured protein content, lipid content

Oligomers are transient toxic species in amyloidoses such as Alzheimer's disease. The binding of oligomers by human chaperone proteins has been inferred from the lack of detectable interactions with monomeric amyloid proteins and delay of fibril formation at sub-stoichiometric chaperone to monomer molar ratios. In this study, we provide direct experimental evidence for the binding of the human cha

The Large Magellanic Cloud (LMC) and Small Magellanic Cloud (SMC) are the Milky Way’s nearest interacting galaxy pair, offering a unique laboratory for studying tidal effects on galactic disks. Despite extensive survey efforts, the 3D geometry of the Magellanic Clouds, particularly the putative warp of the LMC, remains poorly constrained due to incompleteness in their crowded centers and the low s

The aim of this work is to integrate a machine-learning (ML)-based meta-model into a conventional structural vibration model in a componentwise manner using dynamic substructuring. In dynamic substructuring, the finite element (FE) method is one of the popular ways of modeling substructures. In this study, we theoretically examine dynamic substructuring formulations for cases where an ML-based met