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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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Cross-cultural adaptation and validation of the Chinese version of the Spine Oncology Study Group Outcomes Questionnaire

TL;DR: Wang et al. as mentioned in this paper verified and validated the Chinese version of the SOSGOQ and reported on the HRQoL of Chinese patients with spinal metastases using a single-center, prospective, observational cross-sectional study.

High-Efficiency Millimeter-Wave CMOS Oscillator Design Using Port Voltage/Current Optimization and T-Embedding Networks

TL;DR: In this article , an optimization-based design methodology for high-power and high-efficiency millimeter-wave fundamental oscillators in CMOS was presented, which can produce the final design in a single pass of optimization with a fast and robust convergence profile.
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MicroRNA-34a-5p promotes the progression of osteoarthritis secondary to developmental dysplasia of the hip by restraining SESN2-induced autophagy.

TL;DR: Wang et al. as discussed by the authors showed that miR-34a-5p could significantly inhibit the expression of SESN2, thereby promoting the activity of the mTOR signaling pathway.
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Retracted and Republished from: “Gut Microbiota Mediates the Therapeutic Effect of Monoclonal Anti-TLR4 Antibody on Acetaminophen-Induced Acute Liver Injury in Mice”

TL;DR: Zhang et al. as mentioned in this paper developed a novel monoclonal anti-Toll-like receptor 4 (TLR4) antibody (ATAB) and hypothesized that it has therapeutic effects on APAP-induced acute liver injury and that the gut microbiota may be involved in the underlying mechanism of ATAB treatment.
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Characteristics of Gut Microbiota in Female Patients with Diabetic Microvascular Complications

TL;DR: Logistic regression analysis showed that after adjusting for confounding factors such as age, body mass index, family history, HbA1c, hypertension, dyslipidemia, and creatinine, Bacteroides remained an independent risk factor in female patients with DMC.