http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Zhaojie Li (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Xiaoqian Hu,Zhaojie Li,Yong Xue,Jingfeng Wang,Yuming Wang 한국식품영양과학회 2012 Journal of medicinal food Vol.15 No.10
Much attention has been focused on food components that may be beneficial in preventing lifestyle-related diseases. In this study, we investigated the effects of saponins of sea cucumber (SSC) on high-fat diet–induced obesity, insulin resistance, and fatty liver in mice. C57/BL6 mice were fed a high-fat diet, containing 0.03% SSC, or 0.1% SSC for 8 weeks. Both doses of SSC exhibited a weight-loss effect and significantly decreased adipose tissue weight, in both visceral and subcutaneous depots. Furthermore, 0.1% SSC treatment dramatically decreased the hepatic triglyceride and total cholesterol accumulation. Mice administrated with 0.1% SSC had significantly decreased serum glucose and insulin levels, lower homeostatic model assessment for insulin resistance index, and area under the blood glucose curve, suggesting that insulin sensitivity is enhanced by dietary SSC. Dietary SSC also prevented adipokine imbalance, by increasing adiponectin production and decreasing tumor necrosis factor alpha level caused by high-fat diet. Overall, these data demonstrate that SSC could improve certain metabolic parameters associated with obesity.
-
Pengfei Qin,Zhaojie Xia,Li Guo 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.1
To deal with the critical issue of long computational time in practical application of computational fluiddynamics (CFD), this paper presents a new approach of deep learning for voidage prediction (DeepVP) that couplesshort time CFD simulations (limited CFD iterations) with the deep learning method to accelerate the 2D voidage distributionprediction for a gas-solid fluidized bed at steady state. Short time CFD simulations are first performed toobtain a sequence of voidage distribution images containing the temporal-spatial property of a gas-solid fluidized bed ofthe early period. A deep learning model is built to predict the voidage distribution at steady state, which is achieved byimplementing multi-scale convolutional neural networks based on the sequence of voidage images. The case study resultsfor a bubbling bed show that the voidage distribution at steady state for the bubbling bed can be predicted with comparableaccuracy of conventional CFD simulations at about 1/30th computational cost. Moreover, the DeepVP methodexhibits better extrapolation capability than the deep learning approach merely based on CFD condition parameters.
-
Liu Qianshi,Xu Guoning,Li Zhaojie,Jia Zhongzhen,Gao Yang,Li Yongxiang,Yang Yanchu 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
With the improvement of system integration and complexity, reliability has become an important quality index of near-space vehicles. The non-regulated bus structure cannot meet the requirements for the bus voltage of near-space vehicles in the daytime although it has a high reliability in traditional method of reliability identification. Furthermore, the power density of the fully-regulated bus structure is relatively low while it decreases the reliability of the system. Therefore, the semi-regulated bus structure is more suitable for near-space vehicles. In order to improve the reliability of the energy system, a three-port converter is proposed here according to the working mode and functional requirements of near-space vehicles. The converter can realize highly reliable energy management of the energy system. An approach for systematic full state mission effect reliability modeling and evaluation is proposed. The indices can quantify the functional reliability of the system. A prototype machine with high frequency, high power density and high integration is developed. The proposed structure can improve far more reliability than parallel structure did. The reliability analysis results show that the proposed structure has higher reliability than traditional structures and the similar type structures. It comes to a more accurate conclusion contrary to traditional methods when systematic full state mission effect reliability is considered. The calculation method has higher accuracy than traditional method which evaluated the reliability of different converters working on near-space vehicles.
-
Catalytic combustion of volatile aromatic compounds over CuO-CeO2 catalyst
Hongmei Xie,Qinxiang Du,Hui Li,Guilin Zhou,Shengming Chen,Zhaojie Jiao,Jianmin Ren 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.7
Ce1−xCuxO2 oxide solid solution catalysts with different Ce/Cu mole ratios were synthesized by the one-pot complex method. The prepared Ce1−xCuxO2 catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and H2 temperature-programmed reduction (H2-TPR). Their catalytic properties were also investigated by catalytic combustion of phenyl volatile organic compounds (PVOCs: benzene, toluene, xylene, and ethylbenzene) in air. XRD analysis confirmed that the CuO species can fully dissolve into the CeO2 lattice to form CeCu oxide solid solutions. XPS and H2-TPR results indicated that the prepared Ce1−xCuxO2 catalysts contain abundant reactive oxygen species and superior reducibility. Furthermore, the physicochemical properties of the prepared Ce1−xCuxO2 catalysts are affected by the Ce/Cu mole ratio. The CeCu3 catalyst with Ce/Cu mole ratio of 3.0 contains abundant reactive oxygen species and exhibits superior catalytic combustion activity of PVOCs. Moreover, the ignitability of PVOCs is also affected by the respective physicochemical properties. The catalytic combustion conversions of ethylbenzene, xylene, toluene, and benzene are 99%, 98.9%, 94.3%, and 62.8% at 205, 220, 225, and 225 oC, respectively.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
