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Yu Hu

Researcher at Huazhong University of Science and Technology

Publications -  487
Citations -  34645

Yu Hu is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 37, co-authored 435 publications receiving 24865 citations. Previous affiliations of Yu Hu include Chinese Ministry of Education & Guangzhou Medical University.

Papers
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Journal ArticleDOI

Characterization of a Missense Mutation in the Catalytic Domain and a Splicing Mutation of Coagulation Factor X Compound Heterozygous in a Chinese Pedigree.

TL;DR: In this article, two single-base substitutions were identified: c.794T > C: p.Ile265Thr and c.865T > A: IVS7 + 5G > A. Genetic analysis of these two mutations may help characterize the bleeding tendency and confirm congenital FX deficiency.
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Combined deficiency of factors V and VIII in a Chinese family due to a novel nonsense mutation in lectin mannose binding protein 1.

TL;DR: To investigate the cause of his haemorrhagic tendency, plasma from all family members was analysed and a novel homozygous c.144C > A (p.Tyr48*) non‐ sense mutation in exon 1 of LMAN1 in the proband was identified, while no mutations were found in MCFD2, VWF, F5 and F8 genes.
Patent

Route planning safety assessment method for unmanned aerial vehicle

TL;DR: In this article, a route planning safety assessment method for an unmanned aerial vehicle is proposed, which consists of calculating the central point coordinates and principled direction semi-diameter of a bounding box according to an OBB bounding-box construction algorithm, calculating the covariance matrix eigenvalue and eigenvector of the OBB boundeding box by using a Jacobi iterative algorithm, constructing a no-fly zone and an UAV boundingbox respectively, carrying out safety assessment on the route of the UAV by usinga collision detection algorithm of the bounding boxes
Journal ArticleDOI

Helix Scan: A Scan Design for Diagnosis*

TL;DR: This work proposes a design-for-diagnosis scan strategy called helix scan and a diagnosis algorithm that simplifies scan chain diagnosis and achieves high diagnostic resolution as well as accuracy.