Results 201 to 210 of about 490,565 (325)
An Evolutionary Game Study of Multi-Agent Collaborative Disaster Relief Mechanisms for Agricultural Natural Disasters in China [PDF]
Panke Zhang, Nan Li, Hong Han
openalex +1 more source
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source
The Impact of Misinformation on Social Media in the Context of Natural Disasters: Narrative Review. [PDF]
Hilberts S +3 more
europepmc +1 more source
In the H‐type electrolytic cell, carbon dioxide is reduced to acetic acid via electro‐microbial catalysis. The simply processed acetic acid is further converted through biological fermentation into high‐value‐added products, including acrylic acid, L‐lactic acid, and β‐alanine.
Kaixing Xiao +8 more
wiley +1 more source
Effects of Risk Characteristic and Risk Perception on Risk Severity of Natural Disaster [PDF]
Hae-Ryong Song, Won-Je Kim
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Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Natural Disasters, Psychosocial Distress, Psychological Flexibility, and Satisfaction with Life. [PDF]
Bufford RK, Skoubo J, Logan K, Paxton A.
europepmc +1 more source
Medical Rehabilitation in Natural Disasters in the Asia-Pacific Region: The Way Forward
Fary Khan, Rathore FA, Bhasker Amatya
openalex +1 more source
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source

