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- 저자 : Fanfan Gao (검색결과 4 건)
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Novel Hierarchical TiO2/C Nanocomposite with Enhanced Photocatalytic Performance
Yupeng Gao,Hao Chen,Aiguo Zhou,Zhengyang Li,Fanfan Liu,Qianku Hu,Libo Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.5
"Hierarchical TiO2 /carbon nanocomposites were synthesized by oxidation of two-dimensional(2D) Ti3C2 nanosheets at different temperatures. Crystal structures and morphologies of the obtained samples were characterized by field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD) and Raman spectroscopy. The results show that 2D Ti3C2 nanosheets are partially oxidized to form a novel hierarchical nanostructure which is composed of carbon nanosheets and TiO2 nanoparticles. With the calcination temperature increasing, the crystal structure of TiO2 nanoparticles changes from anatase to rutile and the hierarchical structure was gradually destroyed. The photodegradation results reveal that the samples obtained at 200℃ and 285℃ show much better photocatalytic properties than P25. And meanwhile the photocatalytic property will become worse with the increase in calcinations temperature."
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A Multi-objective Planning of Transmission Line Balance Degree Based on Power Flow Entropy Theory
Jiaqing Zhong,Fanfan Gao,Xiaohui Zhang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
The equilibrium degree of transmission lines in the multi-objective planning of power grid is studied in this paper. The main purpose of the study is to ensure the economy and improve the balanced distribution of active power fl ow of transmission lines, furthermore increase the adaptability of transmission lines in the future power grid. The problem is mainly focus on the single-level of line load rate, in researching on the distribution balance of active power fl ow in transmission lines. Three indexed, which are line load rate power fl ow entropy, active loss rate power fl ow entropy and transmission effi ciency power fl ow entropy, are defi ned in this paper. The weighted sum of the three indexes is defi ned as the balance factor of active power fl ow distribution in transmission lines. This factor is used in transmission network planning to improve the overall balance of active power fl ow distribution in transmission lines. On this basis, a multi-objective programming model with minimum economic cost and maximum equilibrium factor of transmission network is established. The model is solved by using multiobjective bacterial colony chemotactic algorithm (BCC) and optimal compromise solution method. The results verify the superiority and rationality of the proposed method and model.
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Fan Feng,Xin Zhang,Peiyi Gao,Fanfan Lin,Bohui Zhao,Hoay Beng Gooi 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
The emerging triple-phase-shift (TPS) modulation method has been successfully applied to the dual active bridge (DAB) converters, eliminating the circulating current and thus improving the efficiency. Hence the TPS-based DAB converter has been receiving greater attention in recent years. However, the interaction between the TPS-DAB converter and its LC filter may cause instable problems. This paper develops the impedance model of the TPS-DAB converter. With the developed input impedance model, the stability of the TPS-DAB converter and its LC filter is analyzed. The effects of the LC filter parameters on the stability of the TPS-DAB converter and the LC filter are clarified. Finally, the experimental results are provided for validating the impedance model and stability analysis.
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Xu Zhiyang,Zhou Kaixiang,Wang Zhenni,Liu Yang,Wang Xingguo,Gao Tian,Xie Fanfan,Yuan Qing,Gu Xiwen,Liu Shujuan,Xing Jinliang 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Ovarian cancer (OC) is the most lethal gynecologic tumor and is characterized by a high rate of metastasis. Challenges in accurately delineating the metastatic pattern have greatly restricted the improvement of treatment in OC patients. An increasing number of studies have leveraged mitochondrial DNA (mtDNA) mutations as efficient lineage-tracing markers of tumor clonality. We applied multiregional sampling and high-depth mtDNA sequencing to determine the metastatic patterns in advanced-stage OC patients. Somatic mtDNA mutations were profiled from a total of 195 primary and 200 metastatic tumor tissue samples from 35 OC patients. Our results revealed remarkable sample-level and patient-level heterogeneity. In addition, distinct mtDNA mutational patterns were observed between primary and metastatic OC tissues. Further analysis identified the different mutational spectra between shared and private mutations among primary and metastatic OC tissues. Analysis of the clonality index calculated based on mtDNA mutations supported a monoclonal tumor origin in 14 of 16 patients with bilateral ovarian cancers. Notably, mtDNA-based spatial phylogenetic analysis revealed distinct patterns of OC metastasis, in which a linear metastatic pattern exhibited a low degree of mtDNA mutation heterogeneity and a short evolutionary distance, whereas a parallel metastatic pattern showed the opposite trend. Moreover, a mtDNA-based tumor evolutionary score (MTEs) related to different metastatic patterns was defined. Our data showed that patients with different MTESs responded differently to combined debulking surgery and chemotherapy. Finally, we observed that tumor-derived mtDNA mutations were more likely to be detected in ascitic fluid than in plasma samples. Our study presents an explicit view of the OC metastatic pattern, which sheds light on efficient treatment for OC patients.
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