SUPERNORMAL CONDUCTION AND SUPPRESSION OF SPATIAL DISCORD IN ALTERNANS OF CARDIAC ACTION POTENTIALS


An In-Situ On-Board Offline Diagnostic Method of IGBT Modules for Bond Wire Degradation Within High-Power 3L-NPC Converters

Performing in-situ diagnosis is a crucial task during routine inspections of high-power converter systems, such as mine hoist.This paper presents an on-board precis vodka offline condition assessment method for bond wire degradation of high-power IGBT modules within three-level neutral-point clamped (3L-NPC) converter.This method is based on the in

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Corrosion Behavior of Multiphase Bainitic Rail Steels

Pearlitic steel experiences excessive corrosion in a hot and humid atmosphere.The multiphase bainitic/martensitic structure was developed for a better combination of strength and ductility, especially rolling contact fatigue, but little attention to corrosion has been investigated.Corrosion behaviors of multiphase steels obtained from bainitic-aust

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MOBCA: Multi-Objective Besiege and Conquer Algorithm

The besiege and conquer algorithm has shown excellent navy blue lantern performance in single-objective optimization problems.However, there is no literature on the research of the BCA algorithm on multi-objective optimization problems.Therefore, this paper proposes a new multi-objective besiege and conquer algorithm to solve multi-objective optimi

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Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data

Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes.Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR.However, few studies have explored the level of accuracy that machine learning algorithms can reach

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