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| 1 | Wind power prediction based on variational mode decomposition multi-frequency combinations显示文摘Because of the uncertainty and randomness of wind speed, wind power has characteristics such as nonlinearity and multiple frequencies. Accurate prediction of wind power is one effective means of improving wind power integration. Because the traditional single model cannot fully characterize the fluctuating characteristics of wind power, scholars have attempted to build other prediction models based on empirical mode decomposition(EMD) or ensemble empirical mode decomposition(EEMD) to tackle this problem. However, the prediction accuracy of these models is affected by modal aliasing and illusive components. Aimed at these defects, this paper proposes a multi-frequency combination prediction model based on variational mode decomposition(VMD). We use a back propagation neural network(BPNN),autoregressive moving average(ARMA)model, and least square support vector machine(LS-SVM) to predict high, intermediate,and low frequency components,respectively. Based on the predicted values of each component, the BPNN is applied to combine them into a final wind power prediction value.Finally,the prediction performance of the single prediction models(ARMA,BPNN and LS-SVM)and the decomposition prediction models(EMD and EEMD) are used to compare with the proposed VMD model according to the evaluation indices such as average absolute error, mean square error,and root mean square error to validate its feasibility and accuracy. The results show that the prediction accuracy of the proposed VMD model is higher. | Gang ZHANG Hongchi LIU Jiangbin ZHANG Ye YAN Lei ZHANG Chen WU Xia HUA Yongqing WANG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，2： | 10 |
| 2 | Gankyrin promotes tumor growth and metastasis through activation of IL‐6/STAT3 signaling in human cholangiocarcinoma显示文摘 | Tongsen Zheng Xuehui Hong Jiabei Wang Tiemin Pei Yingjian Liang Dalong Yin Ruipeng Song Xuan Song Zhaoyang Lu Shuyi Qi Jiaren Liu Boshi Sun Changming Xie Shangha Pan Yuejin Li Xiaohe Luo Shuai Li Xiang Fang Nishant Bhatta Hongchi Jiang Lianxin Liu | 2014 | Hepatology2014，，： | 2 |
| 3 | Voltage distribution in stator windings of the motor driven by PWM inverter显示文摘 | Wan Jianru Liu Hongchi Yu Huanjun | 2002 | Power System Technology2002，2，： | 1 |
| 4 | Downregulation of Skp2 inhibits the growth and metastasis of gastric cancer cells in vitro and in vivo显示文摘 | Zheng Wei Xian Jiang Fengjun Liu Haiquan Qiao Baoguo Zhou Bo Zhai Lianfeng Zhang Xuwen Zhang Likun Han Hongchi Jiang Geoffrey W Krissansen Xueying Sun | 2013 | Tumor Biology2013，，1： | 1 |
| 5 | Science with the 2.5-meter Wide Field Survey Telescope(WFST)显示文摘The Wide Field Survey Telescope(WFST) is a dedicated photometric surveying facility being built jointly by University of Science and Technology of China(USTC) and the Purple Mountain Observatory(PMO). It is equipped with a 2.5-meter diameter primary mirror, an active optics system, and a mosaic CCD camera with 0.73 gigapixels on the primary focal plane for highquality image capture over a 6.5-square-degree field of view. The installation of WFST near the summit of Saishiteng mountain in the Lenghu region is scheduled in summer of 2023, and the operation is planned to start three months later. WFST will scan the northern sky in four optical bands(u, g, r and i) at cadences from hourly/daily in the deep high-cadence survey(DHS) program, to semi-weekly in the wide field survey(WFS) program. During a photometric night, a nominal 30 s exposure in the WFS program will reach a depth of 22.27, 23.32, 22.84, and 22.31(AB magnitudes) in these four bands, respectively, allowing for the detection of a tremendous amount of transients in the low-z universe and a systematic investigation of the variability of Galactic and extragalactic objects. In the DHS program, intranight 90 s exposures as deep as 23(u) and 24 mag(g), in combination with target of opportunity follow-ups, will provide a unique opportunity to explore energetic transients in demand for high sensitivities, including the electromagnetic counterparts of gravitational wave events, supernovae within a few hours of their explosions,tidal disruption events and fast, luminous optical transients even beyond redshift of unity. In addition, the final 6-year co-added images, anticipated to reach g■25.8 mag in WFS or 1.5 mags deeper in DHS, will be of fundamental importance to general Galactic and extragalactic science. The highly uniform legacy surveys of WFST will serve as an indispensable complement to those of the Vera C. Rubin Observatory's Legacy Survey of Space and Time(LSST) that monitors the southern sky. | Tinggui Wang Guilin Liu Zhenyi Cai Jinjun Geng Min Fang Haoning He Ji-an Jiang Ning Jiang Xu Kong Bin Li Ye Li Wentao Luo Zhizheng Pan Xuefeng Wu Ji Yang Jiming Yu Xianzhong Zheng Qingfeng Zhu Yi-Fu Cai Yuanyuan Chen Zhiwei Chen Zigao Dai Lulu Fan Yizhong Fan Wenjuan Fang Zhicheng He Lei Hu Maokai Hu Zhiping Jin Zhibo Jiang Guoliang Li Fan Li Xuzhi Li Runduo Liang Zheyu Lin Qingzhong Liu Wenhao Liu Zhengyan Liu Wei Liu Yao Liu Zheng Lou Han Qu Zhenfeng Sheng Jianchun Shi Yiping Shu Zhenbo Su Tianrui Sun Hongchi Wang Huiyuan Wang Jian Wang Junxian Wang Daming Wei Junjie Wei Yongquan Xue Jingzhi Yan Chao Yang Ye Yuan Yefei Yuan Hongxin Zhang Miaomiao Zhang Haibin Zhao Wen Zhao | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，10： | 1 |
| 6 | Secretory clusterin contributes to oxaliplatin resistance by activating Akt pathway in hepatocellular carcinoma显示文摘 | Peng Xiu Xuesong Dong Xiaofeng Dong Zongzhen Xu Huaqiang Zhu Feng Liu Zheng Wei Bo Zhai Jagat R. Kanwar Hongchi Jiang Jie Li Xueying Sun | 2013 | Cancer Sci2013，，3： | 1 |
| 7 | Genistein potentiates the effect of arsenic trioxide against human hepatocellular carcinoma: Role of Akt and nuclear factor-κB显示文摘 | Yong Ma Jizhou Wang Lianxin Liu Huaqiang Zhu Xiaoning Chen Shangha Pan Xueying Sun Hongchi Jiang | 2010 | Cancer Letters2010，，1： | 1 |
| 8 | Yes-associated protein contributes to magnesium alloy-derivedinflammation in endothelial cells显示文摘Magnesium alloy(Mg alloy)has attracted massive attention in the potential applications of cardiovascular stents because of its good biocompatibility and degradability.However,whether and how the Mg alloy induces inflammation in endothelial cells remains unclear.In the present work,we investigated the activation of Yes-associated protein(YAP)upon Mg alloy stimuli and unveiled the transcriptional function in Mg alloy-induced inflammation.Quantitative RT–PCR,western blotting and immunofluorescence staining showed that Mg alloy inhibited the Hippo pathway to facilitate nuclear shuttling and activation of YAP in human coronary artery endothelial cells(HCAECs).Chromatin immunoprecipitation followed sequencing was carried out to explore the transcriptional function of YAP in Mg alloy-derived inflammation.This led to the observation that nuclear YAP further bonded to the promoter region of inflammation transcription factors and co-transcription factors.This binding event activated their transcription and modified mRNA methylation of inflammation-related genes through regulating the expression of N6-methyladenosine modulators(METTL3,METTL14,FTO and WTAP).This then promoted inflammation-related gene expression and aggravated inflammation in HCAECs.In YAP deficiency cells,Mg alloy-induced inflammation was reduced.Collectively,our data suggest that YAP contributes to the Mg alloy-derived inflammation in HCAECs and may provide a potential therapeutic target that alleviates inflammation after Mg alloy stent implantation. | Hongchi Yu Zhe Hou Nuoya Chen Rifang Luo Li Yang Michael Miao Xiaoyi Ma Lifeng Zhou Fugui He Yang Shen Xiaoheng Liu Yunbing Wang | 2022 | Regenerative Biomaterials2022，9，1： | 0 |
| 9 | An Efficient Radar Detection Method of Maneuvering Small Targets显示文摘Detection of maneuvering small targets has always been an important yet challenging task for radar signal processing.One primary reason is that target variable motions within coherent processing interval generate energy migrations across multiple resolution bins,which severely deteriorate the parameter estimation performance.A coarse-to-fine strategy for the detection of maneuvering small targets is proposed.Integration of small points segmented coherently is performed first,and then an optimal inter-segment integration is utilized to derive the coarse estimation of the chirp rate.Sparse fractional Fourier transform(FrFT)is then employed to refine the coarse estimation at a significantly reduced computational complexity.Simulation results verify the proposed scheme that achieves an efficient and reliable maneuvering target detection with-16dB input signal-to-noise ratio(SNR),while requires no exact a priori knowledge on the motion parameters. | Hongchi Zhang Yuan Feng Shengheng Liu | 2024 | Journal of Beijing Institute of Technology2024，33，1： | 0 |
| 10 | Catalytic Benzylation Reactions: From C-H Bond Activation to C-N Bond Activation显示文摘Transition-metal mediated activation of inert chemical bonds is an ongoing topic in homogeneous catalysis.In view of the abundance and accessibility of alkylarenes and benzylamines,the use of them as benzyl source in catalytic benzylation reactions via benzylic C-H and C-N bond activation is highly desirable.Indeed,compared with the traditional approaches with benzyl halide as the substrates,benzylation reactions via C-H and C-N bond cleavage provide more efficient,atom-economic strategies to access myriads of synthetically important molecules.In this account,our group's efforts on catalytic benzylation reactions via directed C-H activation,nondirected C-H activation and C-N bond activation are summarized. | Tianxiao Jiang Hongchi Liu Haocheng Zhang Hanmin Huang | 2021 | Chinese Journal of Chemistry2021，39，5： | 0 |
| 11 | Wind Power Prediction Based on Variational Mode Decomposition and Feature Selection显示文摘Accurate wind power prediction can scientifically arrange wind power output and timely adjust power system dispatching plans. Wind power is associated with its uncertainty,multi-frequency and nonlinearity for it is susceptible to climatic factors such as temperature, air pressure and wind speed.Therefore, this paper proposes a wind power prediction model combining multi-frequency combination and feature selection.Firstly, the variational mode decomposition(VMD) is used to decompose the wind power data, and the sub-components with different fluctuation characteristics are obtained and divided into high-, intermediate-, and low-frequency components according to their fluctuation characteristics. Then, a feature set including historical data of wind power and meteorological factors is established, which chooses the feature sets of each component by using the max-relevance and min-redundancy(m RMR) feature selection method based on mutual information selected from the above set. Each component and its corresponding feature set are used as an input set for prediction afterwards. Thereafter, the high-frequency input set is predicted using back propagation neural network(BPNN), and the intermediate-and low-frequency input sets are predicted using least squares support vector machine(LS-SVM). After obtaining the prediction results of each component, BPNN is used for integration to obtain the final predicted value of wind power, and the ramping rate is verified. Finally, through the comparison, it is found that the proposed model has higher prediction accuracy. | Gang Zhang Benben Xu Hongchi Liu Jinwang Hou Jiangbin Zhang | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，6： | 0 |
| 12 | Fabrication of a High-Performance and Reusable Planar Face Mask in Response to the COVID-19 Pandemic显示文摘The coronavirus disease 2019(COVID-19)pandemic has caused a surge in demand for face masks,with the massive consumption of masks leading to an increase in resource-related and environmental con-cerns.In this work,we fabricated meltblown polypropylene(mb-PP)-based high-performance planar face masks and investigated the effects of six commonly used disinfection methods and various mask-wearing periods on the reusability of these masks.The results show that,after three cycles of treatment using hot water at 70℃ for 30 min,which is one of the most scalable,user-friendly methods for viral disinfection,the particle filtration efficiency(PFE)of the mask remained almost unchanged.After mask wearing for 24 h and subsequent disinfection using the same treatment procedures,the PFE decreased to 91.3%;the average number of bacterial and fungal colonies was assessed to be 9.2 and 51.6 colony-forming units per gram(CFU∙g^(-1)),respectively;and coliform and pyogenic bacteria were not detected.Both the PFE and the microbial indicators are well above the standard for reusable masks after disinfection.Schlieren pho-tography was then used to assess the capabilities of used and disinfected masks during use;it showed that the masks exhibit a high performance in suppressing the spread of breathed air. | Shui Hu Hongchi Tian Shijia Zhang Dan Wang Guozhuo Gong Weihua Yue Keyang Liu Song Hong Rui Wang Qingqing Yuan Yonglai Lu Dong Wang Liqun Zhang Jianfeng Chen | 2022 | Engineering2022，8，2： | 0 |
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