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Yi Zhang

Researcher at Xiamen University

Publications -  4
Citations -  238

Yi Zhang is an academic researcher from Xiamen University. The author has contributed to research in topics: Wind speed & Nuclear receptor. The author has an hindex of 3, co-authored 4 publications receiving 172 citations.

Papers
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Orphan nuclear receptor TR3 acts in autophagic cell death via mitochondrial signaling pathway

TL;DR: It is discovered that melanoma, which is generally resistant to drug-induced apoptosis, can undergo autophagic cell death with the participation of orphan nuclear receptor TR3, and implicates a new approach to melanoma therapy through activation of a mitochondrial signaling pathway that integrates a nuclear receptor with autophagy for cell death.
Journal ArticleDOI

Blocking PPARγ interaction facilitates Nur77 interdiction of fatty acid uptake and suppresses breast cancer progression.

TL;DR: It is demonstrated that the knockout of Nur77 stimulated mammary tumor development in two mouse models, which would be reversed by a specific reexpression of Nur 77 in mammary tissues, which identifies Csn-B as an effective therapeutic lead compound for breast cancer.
Patent

Fan output multi-index evaluation method considering fan characteristics

TL;DR: In this paper, a fan output multi-index evaluation method considering fan characteristics was proposed to evaluate wind energy resources over the same period of time in different regions or over different periods in the same region, and has a wide range of application.
Patent

Wind power fluctuation component decomposer and wind power output fluctuation characteristic assessment method

TL;DR: In this paper, a wind power fluctuation component decomposition component decomposer and an assessment method for wind power output fluctuation characteristic assessment method is presented, which comprises the steps of inputting original wind speed data and fan characteristic data according to a set time interval; converting the input original wind speeds data and Fan characteristic data into wind power; decomposing the wind power into superposition of fluctuation components of a fluctuation period in different time level ranges; drawing an extremum difference frequency distribution histogram by taking an equal interval as a step length; forming a fluctuated