Results 51 to 60 of about 1,128,358 (226)

Explainable AI-Driven Wildfire Prediction in Australia: SHAP and Feature Importance to Identify Environmental Drivers in the Age of Climate Change

Fire
This study develops an explainable machine learning framework for wildfire prediction across Australia, integrating region-specific models and feature attribution to identify key environmental drivers. Three wildfire indicators, Estimated Fire Area (FA),
Zina Abohaia, Abeer Elkhouly, May El Barachi, Obada Al-Khatib   +3 more
doaj   +1 more source

Stop Using Limiting Stimuli as a Measure of Sensitivities of Energetic Materials

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Accurately estimating the sensitivity of explosive materials is a potentially life‐saving task that requires standardised protocols across nations. One of the most widely applied procedures worldwide is the so‐called ‘1‐In‐6’ test from the United Nations (UN) Manual of Tests in Criteria, which estimates a ‘limiting stimulus’ for a material. In
Dennis Christensen, Geir Petter Novik
wiley   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Post-Earthquake Fires (PEFs) in the Built Environment: A Systematic and Thematic Review of Structural Risk, Urban Impact, and Resilience Strategies

Fire
Post-earthquake fires (PEFs) represent a complex, cascading hazard in which seismic damage creates ignition conditions that can overwhelm urban infrastructure and severely compromise structural integrity.
Fatma Kürüm Varolgüneş, Sadık Varolgüneş   +1 more
doaj   +1 more source

Photo‐responsive carbon dots for pyroptosis‐mediated anti‐tumor application

Responsive Materials, EarlyView.
Photo‐responsive CDs generate ROS to induce tumor cell pyroptosis, thereby stimulating antitumor immunity. Abstract Pyroptosis refers to a kind of lytic programmed cell death, characterized by the release of pro‐inflammatory cytokines during the process. Owing to its immune response stimulation ability, pyroptosis has garnered considerable attention in
Lingyun Li, Xue Wu, Zekun Yan, Jun Wu, Caishi Huang, Songnan Qu   +5 more
wiley   +1 more source

Progress and prospects of thermally conductive/flame-retardant integrated polymer composites

Nano Research
With the rapid development of modern electronics such as AI chips and new-energy batteries, the continuously increasing heat flux density and stringent safety requirements impose severe demands on polymer-based electronic packaging materials.
Shan Huang, Wenrui Luo, Hao Jiang, Zhilei Shi, Ruixuan Xu, Delong Xie   +5 more
doaj   +1 more source

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace

steel research international, EarlyView.
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley   +1 more source

Feasibility of Red Mud Recycling via Hydrogen Plasma Smelting Reduction: Insights From Large‐Scale Laboratory Experiments

steel research international, EarlyView.
Red mud processing in a laboratory hydrogen plasma facility, exceeding one hundred grams of input material, to evaluate the first scale‐up steps for iron recovery. This study demonstrates the feasibility of red mud reduction and the removal of harmful elements.
Daniel Ernst, Jürgen Erich Platl, Daniela Pircher, Magdalena Kirchmair, Lukas Kölbl, Johannes Schenk, Susanne Michelic   +6 more
wiley   +1 more source

Innovative AI analysis and experimental study of hydrogen- enriched clean fuel in modern fossil fuel engines

Scientific Reports
Artificial intelligence-based technologies are rapidly advancing and significantly influencing the engineering sector, particularly in the automotive industry, through AI-driven neural network tools and Sankey diagrams. Meanwhile, the depletion of fossil
Mohammed Al Awadh, Mohammad Imtiyaz Gulbarga   +1 more
doaj   +1 more source