Jian Huang
Zhejiang University
1596 Papers
7.2K Citations
Jian Huang is an academic researcher from Zhejiang University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 97, co-authored 1189 publications. Previous affiliations of Jian Huang include Wuhan University of Technology & Chinese National Human Genome Center.
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Papers
Transmural recording of monophasic action potentials.
TL;DR: To investigate the possibility of transmural recording of repolarization through the ventricular wall, KCl monophasic action potential electrodes positioned along plunge needles were developed and tested and corresponded well with that of the transmembrane potential recorded with an adjacent microelectrode.
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Extraperitoneal transumbilical laparoendoscopic single-site radical prostatectomy using a homemade single-port device: 20 cases with midterm outcomes.
Chun Jiang,Jian Huang,Tianxin Lin,Kewei Xu,Jinli Han,Hai Huang,Wenlian Xie,Yousheng Yao,Zhenghui Guo,Liangkuan Bi +9 more
TL;DR: LESS–RP is technically feasible and safe, with excellent cosmesis, low postoperative pain levels, and acceptable midterm oncological, and functional outcomes.
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Rational design and optimization of selenophenes with basic side chains as novel potent selective estrogen receptor modulators (SERMs) for breast cancer therapy.
TL;DR: These new ligands have the potential to be further developed as novel agents to improve therapeutics that target the estrogen receptor and the basic side chain might contribute to their increased antagonist potency and antiproliferative activity.
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Offloading to Improve the Battery Life of Mobile Devices
TL;DR: The authors present an overview of three offloading techniques that can help save power while simultaneously increasing performance on a mobile device's main processor.
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Histopathological imaging-based cancer heterogeneity analysis via penalized fusion with model averaging.
TL;DR: The penalized fusion technique, which has notable advantages—such as greater flexibility—over the finite mixture modeling and other techniques, is adopted and a sparse penalization is further imposed to accommodate high dimensionality and select relevant imaging features.
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