Long-Range Weather Prediction: Limits of Predictability and Beyond [PDF]
Edward S. Epstein
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The Latest Advances in Mechanically Robust Self‐Healing Polyurea Based on Dynamic Chemistry
Solving the contradiction between strength, toughness, and self‐healing properties is extremely important to realize the breakthrough of polyurea applications. This review summarizes and discusses common strategies for the preparation of high‐performance and self‐healing polyurea materials based on dynamic chemistry, providing molecular‐level insights ...
Yujia Hao, Guangming Zhu
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An attempt to use satellite photography in numerical weather prediction : technical report [PDF]
James Bradley+2 more
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International Symposium on Numerical Weather Prediction in Tokyo
Hiroshi Ito
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The Use of High Horizontal Resolution Satellite Temperature and Moisture Profiles to Initialize a Mesoscale Numerical Weather Prediction Model—A Severe Weather Event Case Study [PDF]
Graham Mills, Christopher M. Hayden
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A Hollow Shell‐Lattice Soft Robot in Flexible Pipelines with Flowing Fluids
This study proposes a novel shell‐lattice robot with hollow bodies, capable of crawling through pipes with flowing fluids of high velocities and viscosities and mixed with impurities. The robot also features capabilities of crawling with high payloads, in curved pipes, and unthethered crawling. These unique properties make this robot high promising for
Di Guo, Yiqiang Wang, Zhan Kang
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Effects of fused and blended fertilizers on maize yield and soil properties
Abstract The deficiency of secondary and micronutrients negatively affects plant metabolic functions and reduces crop yields. These nutrients are applied in small quantities (<10 kg ha−1) and are physically blended or chemically fused with primary nutrients to enhance uniformity of application.
Bijesh Maharjan+2 more
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Sensitivity of Low-Latitude Velocity Potential Field in a Numerical Weather Prediction Model to Initial Conditions, Initialization and Physical Processes [PDF]
Kamal Puri
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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices
Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj+4 more
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