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Sr이 치환된 Rosen 타입 압전변압기의 전기적 특성
주현규(Hyeonkyu Joo),김인성(Insung Kim),정순종(Soonjong Jeong),김민수(Minsoo Kim),송재성(Jaesung Song),이대수(Daesoo Lee),전소현(Sohyeon Jeon) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
Recently, piezoelectric transformer is applied to wide fields. Multi layer piezoelectric transformer has the advantage of high step up ratio, high electromechanical coupling coefficient(Kp) and high mechanical quality factor(Qm), however it shows the peeling-phenomenon of electrode, and high price due to high sintering temperature. Therefore this study focus on the method for fabrication of high power rosen type piezoelectric transformers.
A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing
Kim Hyeonkyu,Choi Hwisoo,Lee Daewon,Kim Junil 한국유전학회 2024 Genes & Genomics Vol.46 No.1
Background Understanding gene regulatory networks (GRNs) is essential for unraveling the molecular mechanisms governing cellular behavior. With the advent of high-throughput transcriptome measurement technology, researchers have aimed to reverse engineer the biological systems, extracting gene regulatory rules from their outputs, which represented by gene expression data. Bulk RNA sequencing, a widely used method for measuring gene expression, has been employed for GRN reconstruction. However, it falls short in capturing dynamic changes in gene expression at the level of individual cells since it averages gene expression across mixed cell populations. Objective In this review, we provide an overview of 15 GRN reconstruction tools and discuss their respective strengths and limitations, particularly in the context of single cell RNA sequencing (scRNA-seq). Methods Recent advancements in scRNA-seq break new ground of GRN reconstruction. They offer snapshots of the individual cell transcriptomes and capturing dynamic changes. We emphasize how these technological breakthroughs have enhanced GRN reconstruction. Conclusion GRN reconstructors can be classified based on their requirement for cellular trajectory, which represents a dynamical cellular process including differentiation, aging, or disease progression. Benchmarking studies support the superiority of GRN reconstructors that do not require trajectory analysis in identifying regulator-target relationships. However, methods equipped with trajectory analysis demonstrate better performance in identifying key regulatory factors. In conclusion, researchers should select a suitable GRN reconstructor based on their specific research objectives. Background Understanding gene regulatory networks (GRNs) is essential for unraveling the molecular mechanisms governing cellular behavior. With the advent of high-throughput transcriptome measurement technology, researchers have aimed to reverse engineer the biological systems, extracting gene regulatory rules from their outputs, which represented by gene expression data. Bulk RNA sequencing, a widely used method for measuring gene expression, has been employed for GRN reconstruction. However, it falls short in capturing dynamic changes in gene expression at the level of individual cells since it averages gene expression across mixed cell populations. Objective In this review, we provide an overview of 15 GRN reconstruction tools and discuss their respective strengths and limitations, particularly in the context of single cell RNA sequencing (scRNA-seq). Methods Recent advancements in scRNA-seq break new ground of GRN reconstruction. They offer snapshots of the individual cell transcriptomes and capturing dynamic changes. We emphasize how these technological breakthroughs have enhanced GRN reconstruction. Conclusion GRN reconstructors can be classified based on their requirement for cellular trajectory, which represents a dynamical cellular process including differentiation, aging, or disease progression. Benchmarking studies support the superiority of GRN reconstructors that do not require trajectory analysis in identifying regulator-target relationships. However, methods equipped with trajectory analysis demonstrate better performance in identifying key regulatory factors. In conclusion, researchers should select a suitable GRN reconstructor based on their specific research objectives.
Moon Joon Ho,Lee Joonyub,Kim Kyun Hoo,Kim Hyun Jung,Kim Hyeongseok,Cha Hye-Na,Park Jungsun,Lee Hyeonkyu,Park So-young,Jang Hak Chul,Kim Hail 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Pregnancy imposes a substantial metabolic burden on women, but little is known about whether or how multiple pregnancies increase the risk of maternal postpartum diabetes. In this study, we assessed the metabolic impact of multiple pregnancies in humans and in a rodent model. Mice that underwent multiple pregnancies had increased adiposity, but their glucose tolerance was initially improved compared to those of age-matched virgin mice. Later, however, insulin resistance developed over time, but insulin secretory function and compensatory pancreatic β cell proliferation were impaired in multiparous mice. The β cells of multiparous mice exhibited aging features, including telomere shortening and increased expression of Cdkn2a. Single-cell RNA-seq analysis revealed that the β cells of multiparous mice exhibited upregulation of stress-related pathways and downregulation of cellular respiration- and oxidative phosphorylation-related pathways. In humans, women who delivered more than three times were more obese, and their plasma glucose concentrations were elevated compared to women who had delivered three or fewer times, as assessed at 2 months postpartum. The disposition index, which is a measure of the insulin secretory function of β cells, decreased when women with higher parity gained body weight after delivery. Taken together, our findings indicate that multiple pregnancies induce cellular stress and aging features in β cells, which impair their proliferative capacity to compensate for insulin resistance.
Potassium ferrate(VI)의 Trichloroethylene 분해 최적조건에 관한 연구
윤성열 ( Seongyeol Yun ),안현규 ( Hyeonkyu An ),유중조 ( Jungjo Yuu ),김도형 ( Do-hyung Kim ),이재영 ( Jai-young Lee ) 한국폐기물자원순환학회(구 한국폐기물학회) 2018 한국폐기물자원순환학회 추계학술발표논문집 Vol.2018 No.-
본 연구에서는 다양한 환경조건 하에서 산화제, 응집제, 소독제로써 세가지 기능을 동시에 가지는 potassium ferrate(VI)를 활용하여 Trichloroethylene(TCE)의 분해에 미치는 영향을 확인하였다. Potassium ferrate(VI)은 습식산화법에 의해 제조하여 연구에 사용되었다. TCE의 분해 효율을 평가하기 위해 영향인자로써 pH, potassium ferrate(VI) 주입량 및 TCE 초기 농도로 선정하고 연구를 진행하였다. 이를 위해 시간별 시료를 채취하였다. 채취한 시료에 대하여 Gas Chromatograph-Mass Spectrometer(GC-MS) 분석을 통해 환경조건 별 TCE 분해효율을 평가하였다. 특히, 산화 처리 전ㆍ후의 potassium ferrate(VI)에 대하여 X-Ray Diffraction(XRD) 분석 및 X-ray fluorescence(XRF) 분석을 진행하였다. 연구결과, TCE 분해효율은 potassium ferrate(VI) 주입량과 TCE 초기 농도에 따라 영향을 강하게 받았으며, TCE 분해를 위한 최적조건은 pH 산성 또는 중성, 온도 20℃로 분석되었다. 또한, 산화 처리 전ㆍ후의 potassium ferrate(VI)에 대한 XRD, XRF 분석 결과 마그네타이트가 TCE 접촉에 의해 생성되었다. 결론적으로, TCE를 제거하기 위해 친환경 산화제 potassium ferrate(VI)를 적용하는 것은 유망한 대안으로 고려될 수 있지만, 상업화를 위해서는 높은 pH 문제 해결 등의 추가적인 연구가 필요하다. 사사: 본 연구는 환경부 “지중환경오염ㆍ위해관리기술개발사업; 2018002470004”에서 지원받았습니다.