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| 1 | From demand response to integrated demand response: review and prospect of research and application显示文摘In the traditional power system demand response, customers respond to electricity price or incentive and change their original power consumption pattern accordingly to gain additional benefits. With the development of multi-energy systems (MES) in which electricity, heat, natural gas and other forms of energy are coupled with each other, all types of energy customers are able to participate in demand response, leading to the concept of integrated demand response (IDR). In IDR, energy consumers can response not only by reducing energy consumption or opting for off-peak energy consumption but also by changing the type of the consumed energy. Taking the traditional demand response in power system as a starting point, the studies of the fundamental theory, framework design and potential estimation of demand response in power system are reviewed, and the practical cases and software development of demand response are introduced. Finally, the current theoretical research and application of IDR are assessed. | Wujing Huang Ning Zhang Chongqing Kang Mingxuan Li Molin Huo | 2019 | Protection and Control of Modern Power Systems2019，4，1： | 2 |
| 2 | IRS-Aided SWIPT Systems with Power Splitting and Artificial Noise显示文摘Intelligent reflecting surface(IRS) is regarded as a promising technology because it can achieve higher passive beamforming gain. In particular, the IRS assisted simultaneous wireless information and power transfer(SWIPT) system can make the information decoding receivers(IDRs) have a higher signal-to-noise ratio(SNR), and the energy harvesting receivers(EHRs) have the guarantee of minimum harvested energy threshold. Motivated by the above,in this paper, we use the power splitting(PS) at the user and introduce artificial noise(AN) into the access point(AP), so that the user in system can harvest energy and decode information simultaneously,further improve the security of user. We jointly optimize the beamforming matrix at AP, the reflection phase shift at IRS and the PS ratio, in order to maximize the user’s achievable secrecy rate, subject to the user’s minimum harvested energy threshold and AP’s transmission power. Due to the introduction of PS ratio, the coupling between variables is increased,and the complexity of the problem is significantly increased. Furthermore, the problem is non-convex, so we propose an efficient algorithm based on Taylor Formula, semi-definite relaxation(SDR) and alternating optimization(AO) to get the solution. Numerical results show that the proposed IRS-SWIPT system with PS and AN achieves significant performance improvement compared with other benchmark scheme. | Baogang Li Fuqiang Si Dongsheng Han Wujing Wu | 2022 | China Communications2022，19，4： | 2 |
| 3 | Neutralization of interleukin-17A delays progression of silica-induced lung inflammation and fibrosis in C57BL/6 mice显示文摘 | Ying Chen Cuiying Li Dong Weng Laiyu Song Wen Tang Wujing Dai Ye Yu Fangwei Liu Ming Zhao Chunwei Lu Jie Chen | 2013 | Toxicology and Applied Pharmacology2013，，： | 1 |
| 4 | Single Image Visibility Enhancement in Gradient Domain显示文摘 | Li Wujing Gu Bo Huang Jiangtao | 2012 | IET Image Processing2012，6，5： | 1 |
| 5 | Single Image Visibility Enhancement in Gradient Domain 显示文摘 | Li Wujing Gu Bo Huang Jiangtao | 2012 | IET Image Processing2012，6，5： | 1 |
| 6 | Analysis of Oral Microbiota in Children with Dental Caries by PCR-DGGE and Barcoded Pyrosequencing显示文摘 | Zongxin Ling Jianming Kong Peng Jia Chaochun Wei Yuezhu Wang Zhiwen Pan Wujing Huang Lanjuan Li Hui Chen Charlie Xiang | 2010 | Microbial Ecology2010，，3： | 1 |
| 7 | Eupalinolide B inhibits hepatic carcinoma by inducing ferroptosis and ROS-ER-JNK pathway显示文摘Primary hepatic carcinoma is a common malignant tumor.The classic molecular targeted drug sorafenib is costly and is only effective for some patients.Therefore,it is of great clinical significance to search for new molecular targeted drugs.Eupalinolide B(EB)from Eupatorium lindleyanum DC.is used to treat chronic tracheitis in clinical practice.However,the role of EB in hepatic carcinoma is unknown.In this study,we first measure the effect of EB on tumor growth in a xenograft model and PDX model.The cell proliferation and migration are also detected in human hepatocarcinoma cell lines(SMMC-7721 and HCCLM3).Then,we investigate cell cycle,cell apoptosis,cell necrosis,cell autophagy,and ferroptosis by flow cytometry,western blot analysis and electron microscopy.The results demonstrate that EB exerts anti-proliferative activity in hepatic carcinoma by blocking cell cycle arrest at S phase and inducing ferroptosis mediated by endoplasmic reticulum(ER)stress,as well as HO-1 activation.When HO-1 is inhibited,EB-induced cell death and ER protein expression are rescued.The migration-related mechanism consists of activation of the ROS-ER-JNK signaling pathway and is not connected to ferroptosis.In summary,we first discover that EB inhibits cell proliferation and migration in hepatic carcinoma,and thus EB is a promising anti-tumor compound that can be used for hepatic carcinoma. | Yonghui Zhang Haoyang Zhang Jinage Mu Meiyue Han Zhihao Cao Feng Dong Tingting Wang Lian Pan Wujing Luo Jiaxin Li Huan Liu Lishan Jin Wenxuan Ding Yong Wei Xuesong Deng Dan Liu Xiuzhen He Yi Pang Xiao Mu Zhongjun Wu Dilong Chen | 2022 | Acta Biochimica et Biophysica Sinica2022，54，7： | 1 |
| 8 | Analysis of Oral Microbiota in Children with Dental Caries by PCR-DGGE and Barcoded Pyrosequencing显示文摘 | Zongxin Ling Jianming Kong Peng Jia Chaochun Wei Yuezhu Wang Zhiwen Pan Wujing Huang Lanjuan Li Hui Chen Charlie Xiang | 2010 | Microbial Ecology2010，，3： | 1 |
| 9 | Prediction of Primary Frequency Regulation Capability of Power System Based on Deep Belief Network显示文摘The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance.In order to predict the primary frequency control ability of power system,a new model is proposed based on deep belief networks.The key feature of the proposed model lies in the fact that it considers three key factors,i.e.,disturbance information,system state feature,and unit operation mode.Through this way,it predicts the primary frequency control ability of the power system accurately.The simulation results on real power system data verify the feasibility and accuracy of the proposed model. | Wei Cui Wujing Li Cong Wang Nan Yang Yunlong Zhu Xin Bai Chen Xue | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
| 10 | Self-Adaptive Discrete Cuckoo Search Algorithm for the Service Routing Problem with Time Windows and Stochastic Service Time显示文摘Making house calls is very crucial to deal with the competitive pressures of the service business and to improve service quality.We design a model called service routing problem with time windows and stochastic service time(SRPTW-SST)that is based on vehicle routing problem with time windows.A self-adaptive discrete cuckoo search algorithm with genetic mechanism(sDCSGM)is proposed for the model SRPTW-SST.Moreover,we design a selection mechanism to improve the logicality of the algorithm based on the strong randomness of the Lévy flight.We introduce a genetic mechanism and design a neighborhood search mechanism for improving the robustness of the algorithm.In addition,an adaptive parameter adjustment method is designed to eliminate the impact of fixed parameters.The experimental results show that the sDCS-GM algorithm is more robust and effective than the state-of-the-art methods. | ZHANG Guoyun WU Meng LI Wujing OU Xianfeng XIE Wenwu | 2023 | Chinese Journal of Electronics2023，32，4： | 0 |
| 11 | Dual context prior and refined prediction for semantic segmentation显示文摘Recently,the focus of semantic segmentation research has shifted to the aggregation of context prior and refined boundary.A typical network adopts context aggregation modules to extract rich semantic features.It also utilizes top-down connection and skips connections for refining boundary details.But it still remains disadvantage,an obvious fact is that the problem of false segmentation occurs as the object has very different textures.The fusion of weak semantic and low-level features leads to context prior degradation.To tackle the issue,we propose a simple yet effective network,which integrates dual context prior and spatial propagation-dubbed DSPNet.It extends two mainstreams of current segmentation researches:(1)Designing a dual context prior module,which pays attention to context prior again with a shortcut connection.(2)The network can inherently learn semantic aware affinity values for each pixel and refine the segmentation.We will present detailed comparisons,which perform on PASCAL VOC 2012 and Cityscapes.The result demonstrates the validation of our approach. | Long Chen Jiajie Liu Han Li Wujing Zhan Baoding Zhou Qingquan Li | 2021 | Geo-Spatial Information Science2021，24，2： | 0 |
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