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| 1 | [nterleukin-32, not reduced by salmeterol/fluticasone propionate in mokers with chronic obstructive pulmonary disease显示文摘 | Du Yipeng Wang Wei Yang Wei He Bei | 2014 | Chinese Medical Journal2014，，9： | 10 |
| 2 | Inputs and outputs of insulin receptor显示文摘胰岛素受体(红外) 是在胰岛素发信号的一个重要中心,它的激活紧被调整。在胰岛素刺激之上,红外通过 autophosphorylation 被激活,并且因而 phosphorylates 几胰岛素受体底层(红外) 蛋白质包括 IRS1-6, Shc 和 Gab1。某些 adipokines 也被发现了激活红外。相反, PTP, Grb 和 SOCS 蛋白质,为红外的否定规定负责,作为红外禁止者被描绘。另外,许多另外的蛋白质作为红外底层被识别了并且参予表明小径的胰岛素。为了提供信号的更全面的理解,通过红外调停了,我们考察了红外的在上游、下游的信号分子,总结了红外的积极、否定的调节的人,并且讨论了 IR 底层和交往的适配器蛋白质。我们建议与红外联系的分子的事件应该是综合的获得表明小径和糖尿病的胰岛素的更好的理解。 | Yipeng Du Taotao Wei | 2014 | Protein & Cell2014，5，3： | 6 |
| 3 | Cross-media Hot Topic Auto-tracking Model Based on Semantics and Temporal Context显示文摘As the Internet multimedia information grows explosively, seeking an automatic technology to realize the effective organization and management of crossmedia emergency information is significantly necessary. A novel cross-media hot topic auto-tracking model based on semantics and temporal context is proposed in this paper. According to the semantic correlations of cross-media information, we learn the image visual semantics by the text semantics based on the Latent Dirichlet Allocation probability model, and establish the unified cross-media information description on the same semantic level. Also a semantics-based two-step feature dimension-reduction scheme is proposed to establish the efficient semantic feature space. The self-adaptive learning of topic model is realized to track the dynamic changes in the topic. Experimental results demonstrate that the proposed method outperforms the existing methods, which further improves the effect of hot topic auto-tracking. | LIANG Meiyu DU Junping ZHOU Yipeng | 2015 | Chinese Journal of Electronics2015，24，3： | 3 |
| 4 | Transcriptomic analysis of human breast cancer cells reveals differentially expressed genes and related cellular functions and pathways in response to gold nanorods显示文摘 | Teng Zhou Yipeng Du Taotao Wei | 2015 | Biophysics Reports2015，1，2： | 1 |
| 5 | Visualizing the melting processes in ultrashort intense laser triggered gold mesh with high energy electron radiography显示文摘High-energy electron radiography(HEER)is a promising diagnostic tool for high-energy-density physics,as an alternative to tools such as X/γ-ray shadowgraphy and high-energy proton radiography.Impressive progress has been made in the development and application ofHEER in the past fewyears,and its potential for high-resolution imaging of static opaque objects has been proved.In this study,by taking advantage of the short pulse duration and tunable time structure of high-energy electron probes,time-resolved imaging measurements of high-energy-density gold irradiated by ultrashort intense laser pulses are performed.Phenomena at different time scales frompicoseconds to microseconds are observed,thus proving the feasibility of this technique for imaging of static and dynamic objects. | Zheng Zhou Yu Fang Han Chen Yipeng Wu Yingchao Du Zimin Zhang Yongtao Zhao Ming Li Chuanxiang Tang Wenhui Huang | 2019 | Matter and Radiation at Extremes2019，4，6： | 1 |
| 6 | Automated Machine Learning for Epileptic Seizure Detection Based on EEG Signals显示文摘Epilepsy is a common neurological disease and severely affects the daily life of patients.The automatic detection and diagnosis system of epilepsy based on electroencephalogram(EEG)is of great significance to help patients with epilepsy return to normal life.With the development of deep learning technology and the increase in the amount of EEG data,the performance of deep learning based automatic detection algorithm for epilepsy EEG has gradually surpassed the traditional hand-crafted approaches.However,the neural architecture design for epilepsy EEG analysis is time-consuming and laborious,and the designed structure is difficult to adapt to the changing EEG collection environment,which limits the application of the epilepsy EEG automatic detection system.In this paper,we explore the possibility of Automated Machine Learning(AutoML)playing a role in the task of epilepsy EEG detection.We apply the neural architecture search(NAS)algorithm in the AutoKeras platform to design the model for epilepsy EEG analysis and utilize feature interpretability methods to ensure the reliability of the searched model.The experimental results show that the model obtained through NAS outperforms the baseline model in performance.The searched model improves classification accuracy,F1-score and Cohen’s kappa coefficient by 7.68%,7.82%and 9.60%respectively than the baseline model.Furthermore,NASbased model is capable of extracting EEG features related to seizures for classification. | Jian Liu Yipeng Du Xiang Wang Wuguang Yue Jim Feng | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 7 | An extended analysis of cardiovascular benefits of indoor air filtration intervention among elderly:a randomized crossover trial(Beijing indoor air purifier study,BIAPSY)显示文摘Objective Evidence on potential cardiovascular benefits of personal-level intervention among the elderly exposed to high levels of particulate matter(PM)remains limited.We aimed to assess improvements in surrogate markers of cardiovascular injury in vulnerable populations at risks by using indoor air filtration units.Methods We conducted a randomized crossover trial for 2 separate 2-week air filtration interventions in 20 households of patients with stable chronic obstructive pulmonary disease and their partners in the winter of 2013,with concurrent measurements of indoor PM.The changes in biomarkers indicative of cardiac injury,atherosclerosis progression and systemic inflammation following intervention were evaluated using linear mixed-effect models.Results In the analysis,average levels of indoor PM with aerodynamic diameters<2.5µm(PM2.5)decreased significantly by 59.2%(from 59.6 to 24.3µg/m3,P<0.001)during the active air filtration.The reduction was accompanied by improvements in levels of high-sensitivity cardiac troponin I by−84.6%(95%confidence interval[CI]:−90.7 to−78.6),growth differentiation factor-15 by−48.1%(95%CI:−31.2 to−25.6),osteoprotegerin by−65.4%(95%CI:−56.5 to−18.7),interleukin-4 by−46.6%(95%CI:−62.3 to−31.0)and myeloperoxidase by−60.3%(95%CI:−83.7 to−3.0),respectively.Conclusion Indoor air filtration intervention may provide potential cardiovascular benefits in vulnerable populations at risks. | Jie Chen Tong Wang Hongbing Xu Yutong Zhu Yipeng Du Beibei Liu Qian Zhao Yi Zhang Lingyan Liu Ningman Yuan Jiakun Fang Yunfei Xie Shuo Liu Rongshan Wu Danqing Shao Xiaoming Song Bei He Bert Brunekreef Wei Huang | 2022 | Global Health Journal2022，6，1： | 0 |
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