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A self-powered β-Ga2O3/CsCu2I3 heterojunction photodiode responding to deep ultraviolet irradiation
Gao Ang,Jiang Weiyu,Ma Guoliang,Liu Zeng,Li Shan,Yan Zuyong,Sun Weiming,Zhang Shaohui,Tang Weihua 한국물리학회 2022 Current Applied Physics Vol.33 No.-
In this paper, a lead-free halide perovskite CsCu2I3 film with high stability was prepared by the anti-solvent assisted crystallization method. Then, we coupled it with Ga2O3 to prepare a corresponding heterojunction deep ultraviolet (UV) photodetector. After testing, we concluded that the photodetector is sensitive to 254 nm UV light. The photodetector has good reproducibility, and has an ultra-high photo-to-dark current ratio (PDCR) of more than 105. In addition, under a bias of 10 V and an illuminated intensity of 200 μW/cm2, the responsivity (R) and specific detectivity (D*) reached 20 mA/W and 107 cm Hz1/2 W 1 (Jones), and the external quantum efficiency (EQE) is 10%. Meanwhile, the prepared photodetector could operate at zero bias, i.e., self-powered operation, along with a photocurrent of about 1 nA under illumination with UV light intensity of 200 μW/cm2.
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Expression profiling identified IL-8 as a regulator of homotypic cell-in-cell formation
( Banzhan Ruan ),( Chenxi Wang ),( Ang Chen ),( Jianqing Liang ),( Zubiao Niu ),( You Zheng ),( Jie Fan ),( Lihua Gao ),( Hongyan Huang ),( Xiaoning Wang ),( Qiang Sun ) 생화학분자생물학회(구 한국생화학분자생물학회) 2018 BMB Reports Vol.51 No.8
Homotypic cell-in-cell (CIC) structures forming between cancer cells were proposed to promote tumor evolution via entosis, a nonapoptotic cell death process. However, the mechanisms underlying their formation remained poorly understood. We performed a microarray analysis to identify genes associated with homotypic CIC formation. Cancer cells differing in their ability to form homotypic CIC structures were selected for the study. Association analysis identified 73 probe sets for 62 candidate genes potentially involved in CIC formation. Among them, twenty-one genes were downregulated while 41 genes were upregulated. Pathway analysis identified a gene interaction network centered on IL-8, which was upregulated in high CIC cells. Remarkably, CIC formation was significantly inhibited by IL-8 knockdown and enhanced upon recombinant IL-8 treatment, which correlated with altered cell-cell adhesion and expression of adhesive molecules such as P-cadherin and γ-catenin. Together, our work identified IL-8 as a positive regulator of homotypic CIC formation via enhancing intercellular adhesion. [BMB Reports 2018; 51(8): 412-417]
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A Study on the Legal Challenges and Countermeasures to the Medical AI in China
LEE, JI-HAENG,SUN, GAO-ANG,ZHOU, ZI-ANG,MAO, NE-NE 동아대학교 법학연구소 2021 國際去來와 法 Vol.- No.32
The application of AI in medical field, brings both hope and panic to people. On one hand, it offers more precise diagnosis, more personalized treatment and less unnecessary diagnosis, treatment and health care. On the other hand, it also brings legal challenges to ascertain responsibility to medical misdiagnosis and medical accidents. Different ways to deal with the problems may lead to different effects because solutions are likely to accelerate or hinder the introduction of new technologies. At present, since an applicable quality standard evaluation system for medical AI has not established, it is unable to effectively verify and evaluate medical AI according to the data and algorithm, and the legal framework for the protection and utilization of medical data has not been improved, as a result of which, China is unable to issue relevant laws and regulations to effectively supervise medical AI. China should put forward relevant laws and regulations as soon as possible, establish proper technical standards and legal liability system so as to balance the interests and responsibilities of patients, medical personnel, medical institutions, medical AI designers and producers. Based on the comprehensive measure on the risks and benefits of medical AI, the negligence liability of all parties should be determined combined with relationship among all parties. This paper intends to analyze the situation, problems and challenges of the relevant legal system of AI medical in China by analyzing literature, interviews and statistics.
ScienceON
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