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Xiaogang Liu
Researcher at National University of Singapore
Publications - 605
Citations - 54443
Xiaogang Liu is an academic researcher from National University of Singapore. The author has contributed to research in topics: Medicine & Photon upconversion. The author has an hindex of 94, co-authored 425 publications receiving 41825 citations. Previous affiliations of Xiaogang Liu include Heilongjiang University & Massachusetts Institute of Technology.
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Journal ArticleDOI
Comparison of the prognostic factors of total en bloc spondylectomy and total piecemeal spondylectomy in patients with Enneking stage III giant cell tumor in the thoracic and lumbar spine
TL;DR: In this paper , the authors compared total en bloc spondylectomy with marginal margins against piecemeal spondyllectomy and intralesional margins in the surgical treatment of Enneking stage III spinal giant cell tumor (GCT) in terms of local recurrence.
Journal ArticleDOI
Synthesis of Aryl Sulfides by Decarboxylative C—S Cross-Couplings.
TL;DR: Without the need for organohalide precursors, the convenient and general synthesis of diaryl sulfides can be achieved by using aryl carboxylic acids and thiols or disulfides for decarboxylative CS crosscoupling catalyzed by a bimetallic system as discussed by the authors.
Proceedings ArticleDOI
Optical data storage in a graphene oxide thin film integrated with upconversion nanoparticles (Conference Presentation)
TL;DR: In this article, the upconversion nanoparticles have been conjugated to reduced graphene oxide and deposited through vacuum filtration to form a thin film, which was then irradiated using laser at different powers to produce the reduction of GO to r-GO.
Journal ArticleDOI
Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism
Dapeng Li,Xiaogang Liu +1 more
TL;DR: From algorithm design to experimental validation, both in terms of accuracy, the operational difficulty of the experiment, consumption of arithmetic power, and time cost, the unique superiority of the artificial intelligence attention-based combined with incremental music teaching adjunctive therapy system proposed in this paper can be seen.
Journal ArticleDOI
Diagnostic value of total testosterone and free androgen index measured by LC–MS/MS for PCOS and insulin resistance
TL;DR: LC-MS/MS is more sensitive and accurate than CLIA in the determination of serum TT and FAI, whereas FAI is more valuable in the diagnosis of insulin resistance.