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Jeong Ho Kim

Researcher at Inha University

Publications -  23
Citations -  113

Jeong Ho Kim is an academic researcher from Inha University. The author has contributed to research in topics: Computer science & Hypersonic speed. The author has an hindex of 5, co-authored 16 publications receiving 83 citations. Previous affiliations of Jeong Ho Kim include UPRRP College of Natural Sciences.

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Alpha-lipoic acid protects against cisplatin-induced ototoxicity via the regulation of MAPKs and proinflammatory cytokines.

TL;DR: In this article, Alpha-lipoic acid (ALA) pretreatment significantly reduced cell death of the inner and outer hair cells in cisplatin-treated organ of Corti explants and attenuated ototoxicity via marked inhibition of the expression of IL-1β and IL-6, the phosphorylation of ERK and p38, the degradation of IκBα, the increase in intracellular levels of ROS, and the activation of caspase-3.
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Hard-landing Simulation by a Hierarchical Aircraft Landing Model and an Extended Inertia Relief Technique

TL;DR: In this article, an efficient aircraft landing simulation strategy is proposed to develop an efficient and reliable hard-landing monitoring procedure, which uses a hierarchical aircraft landing model and an extended inertia relief technique.
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Prediction of Pyroshock-Reduced Separation Nut Behaviors

TL;DR: In this paper, an efficient model is proposed to predict the complicated coupling behavior of a pyroshock-reduced separation nut, which has two variable-volume chambers connected by the vent hole.
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Genetic analysis of the CHD7 gene in Korean patients with CHARGE syndrome.

TL;DR: Three Korean patients with CHARGE syndrome including one patient with Patau syndrome were evaluated for genetic analysis of the CHD7 gene using direct sequencing of all 38 exons and the flanking intronic regions and two novel missense mutations were identified.
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Efficient Prediction of the Temperature History of a Hypersonic Vehicle Throughout the Mission Trajectory with an Aerodynamic Thermal Load Element

TL;DR: The approach uses a recently proposed aerodynamic thermal load element, in which the effects of aerodynamic pressure and aerodynamic heating are efficiently considered using local piston theory and the Eckert reference temperature method, respectively to predict the temperature history of a hypersonic vehicle during its full mission trajectory.