Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study. [PDF]
Biomimetics (Basel)Eraslan Y, Şengün E.
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Agribusiness, EarlyView.ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
Research Progress Perspectives of Functional Superslippery Coatings with Drag Reduction for Petroleum Pipeline Transportation. [PDF]
ACS OmegaZhang J +4 more
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A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
AIChE Journal, EarlyView.Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
High-Resolution Optical Chromatography: Principles, Innovations, and Emerging Biomedical Applications. [PDF]
Micromachines (Basel)Zhu X, Li Y, Luo L, Yanik AA.
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Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
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Grip Strength Estimation Using Input Data From a Commodity Smartphone: Model Development and Validation Study. [PDF]
JMIR Hum FactorsTajima K +4 more
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
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Study of sand particle motion characteristics and distribution patterns in a helical-blade multiphase pump. [PDF]
Sci RepZhao X, Shi G, Cui Z, Zhang Y.
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