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Yuan Gao
Researcher at Agency for Science, Technology and Research
Publications - 238
Citations - 7803
Yuan Gao is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Quantum dot & Perovskite (structure). The author has an hindex of 38, co-authored 200 publications receiving 5017 citations. Previous affiliations of Yuan Gao include University of Toronto & Taizhou University.
Papers
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Patent
Dispositif à capteurs multimodaux intégrés pour neuro-surveillance intracrânienne
Wai Pan Chan,Margarita Narducci,Yuan Gao,Julius Ming-Lin Tsai,Ruiqi Lim,Ming-Yuan Cheng,Abdur Rub Abdur Rahman,Mi Kyoung Park,Minkyu Je,Jai Prashanth Rao +9 more
TL;DR: In this paper, a multimodal system for neuro-surveillance intracrânienne is presented, which concerne un dispositif a a capteurs multimodaux integres de maniere monolithique for the neuro surveillance.
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MiR-361 and miR-34a suppress foot-and-mouth disease virus proliferation by activating immune response signaling in PK-15 cells.
TL;DR: Wang et al. as discussed by the authors investigated miRNAs' function in FMDV infection, and found that interference of Dgcr8 inhibited cellular miRNA expression and increased FMDVs production, including viral capsid proteins expression, viral genome copies and virus titer.
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Ultrahigh PSR Output-Capacitor-Free Adaptively Biased 2-Power-Transistor LDO With 200-mV Dropout
TL;DR: In this article , an output-capacitor-free cascaded 2-power-transistor low-dropout (2-PT LDO) regulator with ultrahigh power supply rejection (PSR) and fast transient response for low-power biomedical system on chips is presented.
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A novel honey authenticity detection system based on external cavity quantum cascade laser
TL;DR: In this article , a miniaturized detection system based on external cavity quantum cascade laser (EC-QCL) was developed for detecting sweeteners in Vitex honey, and established the discrimination model of honey authenticity based on the detection system combined with partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM), respectively.
Patent
Lead-tin blended perovskite layer and preparation method and application thereof
TL;DR: In this article, a lead-tin blended perovskite layer is prepared by adding a stabilizer into the lead-to-tin mixture, wherein the stabilizer is a metal reducing agent.