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| 1 | Cross-Band Spectrum Prediction Based on Deep Transfer Learning显示文摘Spectrum prediction is a promising technology to infer future spectrum state by exploiting inherent patterns of historical spectrum data.In practice,for a given spectrum band of interest,when facing relatively scarce historical data,spectrum prediction based on traditional learning methods does not work well.Thus,this paper proposes a cross-band spectrum prediction model based on transfer learning.Firstly,by analysing service activities and computing the distances between various frequency points based on Dynamic Time Warping,the similarity between spectrum bands has been verified.Next,the features,which mainly affect the performance of transfer learning in the crossband spectrum prediction,are explored by leveraging transfer component analysis.Then,the effectiveness of transfer learning for the cross-band spectrum prediction has been demonstrated.Further,experimental results with real-world spectrum data demonstrate that the performance of the proposed model is better than the state-of-theart models when the historical spectrum data is limited. | Fandi Lin Jin Chen Jiachen Sun Guoru Ding Ling Yu | 2020 | China Communications2020，17，2： | 8 |
| 2 | DCGAN Based Spectrum Sensing Data Enhancement for Behavior Recognition in Self-Organized Communication Network显示文摘Communication behavior recognition is an issue with increasingly importance in the antiterrorism and national defense area.However,the sensing data obtained in actual environment is often not sufficient to accurately analyze the communication behavior.Traditional means can hardly utilize the scarce and crude spectrum sensing data captured in a real scene.Thus,communication behavior recognition using raw sensing data under smallsample condition has become a new challenge.In this paper,a data enhanced communication behavior recognition(DECBR)scheme is proposed to meet this challenge.Firstly,a preprocessing method is designed to make the raw spectrum data suitable for the proposed scheme.Then,an adaptive convolutional neural network structure is exploited to carry out communication behavior recognition.Moreover,DCGAN is applied to support data enhancement,which realize communication behavior recognition under small-sample condition.Finally,the scheme is verified by experiments under different data size.The results show that the DECBR scheme can greatly improve the accuracy and efficiency of behavior recognition under smallsample condition. | Kaixin Cheng Lei Zhu Changhua Yao Lu Yu Xinrong Wu Xiang Zheng Lei Wang Fandi Lin | 2021 | China Communications2021，18，11： | 3 |
| 3 | Spectrum Prediction Based on GAN and Deep Transfer Learning:A Cross-Band Data Augmentation Framework显示文摘This paper investigates the problem of data scarcity in spectrum prediction.A cognitive radio equipment may frequently switch the target frequency as the electromagnetic environment changes.The previously trained model for prediction often cannot maintain a good performance when facing small amount of historical data of the new target frequency.Moreover,the cognitive radio equipment usually implements the dynamic spectrum access in real time which means the time to recollect the data of the new task frequency band and retrain the model is very limited.To address the above issues,we develop a crossband data augmentation framework for spectrum prediction by leveraging the recent advances of generative adversarial network(GAN)and deep transfer learning.Firstly,through the similarity measurement,we pre-train a GAN model using the historical data of the frequency band that is the most similar to the target frequency band.Then,through the data augmentation by feeding the small amount of the target data into the pre-trained GAN,temporal-spectral residual network is further trained using deep transfer learning and the generated data with high similarity from GAN.Finally,experiment results demonstrate the effectiveness of the proposed framework. | Fandi Lin Jin Chen Guoru Ding Yutao Jiao Jiachen Sun Haichao Wang | 2021 | China Communications2021，18，1： | 3 |
| 4 | Reactive oxygen species generation is essential for cisplatininduced accelerated senescence in hepatocellular carcinoma显示文摘因为这个过程涉及肿瘤抑制并且被许多化学疗法的代理人导致了,加速的老朽是重要的。基于铂的化学疗法的代理人 cisplatin 显示大量 antitumor 活动。然而,在 hepatocellular 癌(HCC ) 的导致 cisplatin 的加速的老朽的分子的机制仍然保持不清楚。在现在的学习,生长 HepG2 和 SMMC-7721 细胞上的 cisplatin 的禁止的效果被 3-(4,5-dimethylthiazol-2-yl ) 检测 -2,5-diphenyltetrazolium 溴化物试金。细胞的老朽然后被牛乳糖试金估计。包括 p53, p21,和 p16,老朽相关的因素被量的反向的抄写聚合酶链反应评估。反应的氧种类(ROS ) 被流动 cytometry 分析。我们的结果表明 cisplatin 在一个剂量依赖者和时间依赖者举止减少了 HepG2 和 SMMC-7721 房间的增长。在 cisplatintreated hepatoma 房间观察的衰老的显型依赖于 p53 和 p21 激活然而并非在 p16 激活上。而且, cisplatininduced 加速了取决于的老朽细胞内部的 ROS 产生。ROS scavenger N-acetyl-L-cysteine 显著地也压制了 HepG2 和 SMMC-7721 房间的导致 cisplatin 的老朽。在结论,我们的结果揭示了在细胞内部的 ROS 产生和导致 cisplatin 的加速的老朽之间的一个功能的连接,并且这个连接可以被用作 HCC 的一个潜在的目标。 | Kai Qu Ting Lin Zhixin Wang Sinan Liu Hulin Chang Xinsen Xu Fandi Meng Lei Zhou Jichao Wei Minghui Tai Yafeng Dong Chang Liu | 2014 | Frontiers of Medicine2014，8，2： | 2 |
| 5 | A biomaterial-based therapy for lower limb ischemia using Sr/Si bioactive hydrogel that inhibits skeletal muscle necrosis and enhances angiogenesis显示文摘Muscle necrosis and angiogenesis are two major challenges in the treatment of lower-limb ischemic diseases.In this study,a triple-functional Sr/Si-containing bioceramic/alginate composite hydrogel with simultaneous bioactivity in enhancing angiogenesis,regulating inflammation,and inhibiting muscle necrosis was designed to treat lower-limb ischemic diseases.In particular,sodium alginate,calcium silicate and strontium carbonate were used to prepare injectable hydrogels,which was gelled within 10 min.More importantly,this composite hydrogel sustainedly releases bioactive Sr^(2+)and SiO_(3)^(2-) ions within 28 days.The biological activity of the bioactive ions released from the hydrogels was verified on HUVECs,SMCs,C2C12 and Raw 264.7 cells in vitro,and the therapeutic effect of the hydrogel was confirmed using C57BL/6 mouse model of femoral artery ligation in vivo.The results showed that the composite hydrogel stimulated angiogenesis,developed new collateral capillaries,and re-established the blood supply.In addition,the bioactive hydrogel directly promoted the expression of muscle-regulating factors(MyoG and MyoD)to protect skeletal muscle from necrosis,inhibited M1 polarization,and promoted M2 polarization of macrophages to reduce inflammation,thereby protecting skeletal muscle cells and indirectly promoting vascularization.Our results indicate that these bioceramic/alginate composite bioactive hydrogels are effective biomaterials for treating hindlimb ischemia and suggest that biomaterial-based approaches may have remarkable potential in treating ischemic diseases. | Ye Yuan Zhaowenbin Zhang Fandi Mo Chen Yang Yiren Jiao Enci Wang Yuchong Zhang Peng Lin Chengkai Hu Weiguo Fu Jiang Chang Lixin Wang | 2023 | Bioactive Materials2023，，8： | 0 |
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