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김경아,남혜윤,문제혁,정진숙,임영,정치경 大韓産業醫學會 2001 대한직업환경의학회지 Vol.13 No.4
목적 : Rat2 섬유모세포에서 α-quartz에 의해 유도된 NOS의 조절기전을 알아보기 위하여 본 연구가시도 되었다. 방법 : Rat2 세포에 있어서 α-quartz 자극에 의한 NO와 H₂O₂의 분비 및 iNOS의 발현을 관찰하였고, iNOS 억제제인 L-NIL과 H₂O₂ 억제제인Catalase를 전처리하고 마찬가지로 NO와 H₂O₂분비 그리고 iNOS의 단백발현 정도를 western blot-ting을 이용하여 관찰하였다. 결과 : o-quartz는 Rat2 세포에서 iNOS에 의한NO와 H₂O₂의 분비를 유도하였다. L-NIL은 R3t2세포에서 D-quartz에 의한 H₂O₂의 분비와 iNOS발현을 완전히 억제하였다. Catalase로 전처리 하였을 때 o-quartz로 유도된 iNOS에 의하여 생산증가된 H2Oa가 iNOS를 억제하는 autoinhibitorypathway가 차단되어 결과적으로 H₂O₂의 분비와 iNOS의 발현이 증가하였다. 결론 : Rat2 세포에서 α-quartz에 의하여 유도된iNOS는 H₂O₂의 분비를 촉진하고 이 H₂O₂는 iNOS기능을 조절하는 자가조절기전에 중요한 역할을 하는 것으로 생각된다. Objectives : This study was performed in order to investigate the molecular mechanism regulating nitric oxide synthase (NOS) induced by α-quartz in Rat2 fibroblast. Methods : α-quartz-induced nitric Oxide (NO) anti H₂O₂ formation anti α-quarts-induced iNOS protein expression in Rat2 fibroblast were monitored. With iNOS inhibitor (L-N6- (1-iminoethyl) lysine hydrochloride, L-NIL) or antioxidant (catalase), we observed NO and H₂O₂ formation and iNOS protein expression in Rat2 fibroblast stimulated with α-quartz. Results : α-quartz stimulated iNOS-induced NO and H₂O₂ formation in Rat2 fibroblast. L-NIL inhibited H₂O₂ formation and iNOS protein expression by α-quartz in Rat2 fibroblast. Pretreatment with catalase blocked the autoinhibitory pathway of iNOS by iNOS-induced H₂O₂ therefore H₂O₂ and NO production and iNOS protein expression were increased in Rat2 fibrobalst stimulated with α-quartz Conclusion : α-quartz-induced iNOS Stimulated H₂O₂ formation in Rat2 fibroblast. INOS-induced H₂O₂ by α-quartz plays an important role in the autoinhibition pathway for regulating the iNOS function in Rat2 fibroblast
( Chee Hae Chung ),( Daniel Schiff ) 한국행정학회 2023 한국행정학회 학술발표논문집 Vol.2023 No.3
In the rapidly advancing era of artificial intelligence (AI) systems, the discourse on AI ethics has become increasingly important, leading to the release of several ethics guidelines. However, to ensure justice in an era of rapid change, it is crucial to establish the specific social values that the government’s policy direction should pursue before presenting abstract guidelines. This study proposes Rawls’s theory of social justice as a guideline to mitigate the limitations of AI algorithms and address the need to establish justice in the age of AI. It highlights the unique challenges posed by the AI operating system, including issues of data path dependency, proximity, bias, and the black box problem. The study argues that Rawlsian justice theory can counterbalance bias in data input by AI algorithms and past dependency or bias in results by safeguarding the rights of individuals who may not be part of the majority. To tackle these challenges, the study suggests that the government take the lead by preemptively supplementing input values that cause problems in AI algorithms and regulating outputs derived from AI’s automated algorithms. The study will conduct a comprehensive investigation into potential challenges associated with AI algorithms. A deliberate emphasis on the infusion of political philosophy into AI ethics discussions serves as a foundational exploration. Diverse political philosophy dialogues, ranging from traditional ethical discussions from Hutcheson, Bentham, Mill, and Rawls, as well as relatively Sandel, Sen/Nussbaum, Nozick, to critical theories,, will be scrutinized for nuanced insights. The work plan extends to critically assess the relevance and potential criticisms of Rawlsian ethics in the contemporary AI ethics era.