Results 161 to 170 of about 23,385 (265)

Design and Testing of a Minimal Configuration Underwater Micro‐Glider: Automating Lake and Reservoir Monitoring

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Uncrewed underwater vehicles (UUVs) have transformed oceanographic research through autonomous data gathering. Similarly, lake and other aquatic research can potentially be automated and transformed. However, UUVs would need to be smaller, lighter, less complex, and cheaper than currently available to make them more practical and user‐friendly
James M Rand   +3 more
wiley   +1 more source

Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review

open access: yesSustainable Development, EarlyView.
ABSTRACT European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and
Isabela Pichardo‐Velázquez   +2 more
wiley   +1 more source

Synergies of Geospatial and Digital Technologies for Sustainable Rural Development: A Data‐Driven Analysis of Topics and Novelty Assessment

open access: yesSustainable Development, EarlyView.
ABSTRACT The adoption of geospatial and digital technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twins, the Internet of Things (IoT) and Artificial Intelligence (AI), is increasingly recognised as key enablers of sustainable development.
Monica C. M. Parlato, Andrea Pezzuolo
wiley   +1 more source

Shear‐Responsive Red Blood Cell Carriers for Targeted Drug Delivery to Constricted Arteries

open access: yesSmall, EarlyView.
Red blood cells are harnessed as mechanoresponsive carriers that exploit the elevated shear stress of stenotic arteries to transiently open membrane pores and release encapsulated therapeutics selectively at sites of arterial narrowing. By coupling vascular hemodynamics with RBC membrane mechanics, a hemodynamically activated platform for localized ...
Danielle Nemcovsky Amar   +10 more
wiley   +1 more source

Aligning Real‐Time Recurrence Computational Fluid Dynamics Simulations with Plant Data for the Ruhrstahl–Heraeus Degassing Process of Steel

open access: yessteel research international, EarlyView.
Uncertainties exist in computational fluid dynamics (CFD) modeling of complex metallurgical processes, even when partly validated by laboratory experiments. rCFD enables computationally efficient prediction of long‐term RH degassing and can be adapted to vary flow conditions.
Xiaomeng Zhang   +3 more
wiley   +1 more source

Computational fluid dynamics (CFD) using porous media modeling predicts recurrence after coiling of cerebral aneurysms. [PDF]

open access: yesPLoS One, 2017
Umeda Y   +8 more
europepmc   +1 more source

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

open access: yessteel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen   +6 more
wiley   +1 more source

Isothermal Reduction Behavior and Microstructural Evolution of Iron Ore Sinter Under Simulated Radial Blast Furnace Gas Atmospheres With Hydrogen Injection

open access: yessteel research international, EarlyView.
Commercial iron ore sinter is reduced isothermally under operation‐derived radial blast furnace gas atmospheres with and without 20 kg H2/tHM injection. Hydrogen improves reduction at 900–1100 °C, whereas at 700 °C the high H2O content limits the wüstite‐to‐iron driving force.
Ahmed Abdelrahim   +5 more
wiley   +1 more source

Explainable Machine Learning for Predicting Time‐to‐Failure of Horizontal Pressurized Storage Tanks in Fire Scenarios

open access: yesSafety Science and Technology, EarlyView.
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu   +5 more
wiley   +1 more source

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