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| 1 | The number and cytotoxicity and the expression of cytotoxicity-related molecules in peripheral natural killer(NK)cells do not predict the repeated implantation failure(RIF)for the in vitro fertilization patients显示文摘Natural killer(NK)cells are thought to play a key role in the successful establishment of a pregnancy by facilitating immunological adaptation of the semi-allogeneic developing embryo.The aim of this study was to explore the cell number,immunophenotypic characteristics,and activities of peripheral blood NK cells in women with repeated implantation failure(RIF).Peripheral blood was obtained from 27 women with RIF and 11 healthy,fertile controls during the middle luteal phase of the menstrual cycle.CD3^-CD56^+NK cells were quantified and analyzed by flow cytometry for the expression of cytolytic molecules(granzyme B,granulysin,and perforin)as well as cell surface receptors responsible for NK cell activation or inhibition(NKG2D,NKp30,NKp46,CD158a,CD158b).NK cytotoxicity was measured at three effector-to-target cell ratios.Women with RIF and fertile controls did not differ significantly in the percentage of circulating CD3CD56t NK cells,or in the proportions of these cells that expressed granzyme B,granulysin,or perforin.The two groups also did not differ significantly in the proportions of NK cells expressing the receptors NKG2D,NKp30,NKp46,CD158a or CD158b.General linear model analysis showed that NK cytotoxicity increased with effector-to-target cell ratio.However,NK cytotoxicity did not differ significantly between patients with RIF and fertile controls.These results suggest that RIF is not associated with significant alterations in the number or function of peripheral blood NK cells. | Hongzhan Zhang Chunyu Huang Xian Chen Longfei Li Su Liu Yuye Li Yongnu Zhang Yong Zeng Lina HuDepartment of Obstetrics and Gynecology The Second Affiliated Hospital of Chongqing Medical | 2020 | Genes & Diseases2020，7，2： | 2 |
| 2 | F3 peptide-functionalized PEG-PLA nanoparticles co-administrated with tLyp-1 peptide for anti-glioma drug delivery显示文摘 | Quanyin Hu Guangzhi Gu Zhongyang Liu Mengyin Jiang Ting Kang Deyu Miao Yifan Tu Zhiqing Pang Qingxiang Song Lei Yao Huimin Xia Hongzhan Chen Xinguo Jiang Xiaoling Gao Jun Chen | 2013 | Biomaterials2013，，4： | 1 |
| 3 | Properties of non-bridging oxygen hole centers defects in Yb3+/Al3+ Co-doped photonic crystal fiber by using powder melting technology显示文摘 | Wang Chao Zhou Guiyao Liu Hongzhan | 2013 | J Lightwave Teehnol2013，31，17： | 1 |
| 4 | Generation and control of dynamically tunable circular Pearcey beams with annular spiral-zone phase显示文摘Light-field shaping technology plays an important role in optics and nanophotonics. For instance, the spatially structured light field, which exhibits characteristic features in complex phases, light intensity, and polarization, is crucial to understanding new physical phenomena and exploring practical applications. Herein, we propose and demonstrate a new class of tunable circular Pearcey beams(TCPBs) by imposing the annular spiral-zone phase(ASZP). Through experiments, we used a spatial light modulator to generate TCPBs based on their spiral phase distribution, and numerically analyzed the generation and control of the beams with unusual autofocusing and self-rotating dynamics. ASZP is a general term for complex phases composed of the spiral phase,equiphase, and radial phase. TCPB typically exhibits dynamical properties, including abrupt autofocusing, automatic generation of optical bottles, and self-rotation of the beam pattern, during propagation. Besides, the number of generated optical bottles can be modulated by the superposition mode of ASZP and the number of subphases. We found that an inappropriate superposition mode leads to distortion, and we analyzed the underlying mechanism. Potential applications of TCPBs in optical manipulation are also discussed, presenting an exemplary role desired for light-field manipulation. | KaiHui Chen HuiXin Qiu You Wu ZeJia Lin HaiQi Huang LingLing Shui DongMei Deng HongZhan Liu ZhiGang Chen | 2021 | Science China(Physics,Mechanics & Astronomy)2021，64，10： | 1 |
| 5 | F3 peptide-functionalized PEG-PLA nanoparticles co-administrated with tLyp-1 peptide for anti-glioma drug delivery显示文摘 | Quanyin Hu Guangzhi Gu Zhongyang Liu Mengyin Jiang Ting Kang Deyu Miao Yifan Tu Zhiqing Pang Qingxiang Song Lei Yao Huimin Xia Hongzhan Chen Xinguo Jiang Xiaoling Gao Jun Chen | 2013 | Biomaterials2013，，4： | 1 |
| 6 | Identification of the pathogens associated with skin ul- ceration and peristome tumescence in cultured sea cu- cumbers Apostichopus japonicus (Selenka) 显示文摘 | Liu Hongzhan Zheng Fengrong Sun Xiuqin | 2010 | Journal of Invertebrate Pathology2010，105，3： | 1 |
| 7 | Construction of cDNA Library from Intestine, Mesentery and Coelomocyte of Apostichopus japonicus Selenka Infected with Vibrio sp. and a Preliminary Analysis of Immunity-Related Genes显示文摘The aquaculture of sea cucumber Apostichopus japonicus (Echinodermata, Holothuroidea) has grown rapidly during recent years and has become an important sector of the marine industry in Northern China. However, with the rapid growth of the industry and the use of non-standard culture techniques, epidemic diseases of A. japonicus now pose increasing problems to the industry. To screen the genes with stress response to bacterial infection in sea cucumber at a genome wide level, we constructed a cDNA library from A. japonicus Selenka (Aspidochirotida: Stichopodidae) after infecting them with Vibrio sp. for 48 h. Total RNA was extracted from the intestine, mesentery and coelomocyte of infected sea cucumber using Trizol and mRNA was isolated by Oligotex mRNA Kits. The ligated cDNAs were transformed into DH5α, and a library of 3.24×105 clones (3.24×105 cfu mL-1) was obtained with the sizes of inserted fragments ranging from 0.8 to 2.5 kb. Sequencing the cDNA clones resulted in a total of 1106 ESTs that passed the quality control. BlastX and BlastN searches have identified 168 (31.5%) ESTs sharing significant homology with known sequences in NCBI protein or nucleotide databases. Among a panel of 25 putative immunity-related genes, serum lectin isoform, complement component 3, complement component 3-like genes were further studied by real-time PCR and they all increased more than 5 fold in response to Vibrio sp. challenge. Our library provides a valuable molecular tool for future study of invertebrate immunity against bacterial infection and our gene expression data indicates the importance of the immune system in the evolution and development of sea cucumber. | LIU Hongzhan ZHENG Fengrong SUN Xiuqin CAI Yimei | 2012 | Journal of Ocean University of China2012，11，2： | 0 |
| 8 | Optical rectification in 4H-SiC:paving the way to generate strong terahertz fields with ultra-wide bandwidth显示文摘The 4H-SiC crystal is found to have great potential in terahertz generation via nonlinear optical frequency conversion due to its extremely high optical damage threshold,wide transparent range,etc.In this paper,optical rectification(OR)with tilted-pulse-front(TPF)setting based on the 4H-SiC crystal is proposed.The theory accounts for the optimization of incident pulse pre-chirping in the TPF OR process under high-intensity femtosecond laser pumping.Compared with the currently recognized LiNbO3-based TPF OR,which generates a single-cycle terahertz pulse within 3 THz,4HSiC demonstrates a significant advantage in producing ultra-widely tunable(up to over 14 THz,TPF angle 31◦–38◦)terahertz waves with high efficiency(~10–2)and strong field(~MV/cm).Besides,the spectrum characteristics,as well as the evolution from single-to multi-cycle terahertz pulses can be modulated flexibly by pre-chirping.The simulation results show that 4H-SiC enables terahertz frequency extending to an unprecedent range by OR,which has extremely important potential in strong-field terahertz applications. | Fangjie Li Kai Zhong Yiwen Zhang Tong Wu Yuxin Liu Hongzhan Qiao Jining Li Degang Xu Jianquan Yao | 2023 | High Power Laser Science and Engineering2023，11，5： | 0 |
| 9 | Deep Broad Learning for Emotion Classification in Textual Conversations显示文摘Emotion classification in textual conversations focuses on classifying the emotion of each utterance from textual conversations.It is becoming one of the most important tasks for natural language processing in recent years.However,it is a challenging task for machines to conduct emotion classification in textual conversations because emotions rely heavily on textual context.To address the challenge,we propose a method to classify emotion in textual conversations,by integrating the advantages of deep learning and broad learning,namely DBL.It aims to provide a more effective solution to capture local contextual information(i.e.,utterance-level)in an utterance,as well as global contextual information(i.e.,speaker-level)in a conversation,based on Convolutional Neural Network(CNN),Bidirectional Long Short-Term Memory(Bi-LSTM),and broad learning.Extensive experiments have been conducted on three public textual conversation datasets,which show that the context in both utterance-level and speaker-level is consistently beneficial to the performance of emotion classification.In addition,the results show that our proposed method outperforms the baseline methods on most of the testing datasets in weighted-average F1. | Sancheng Peng Rong Zeng Hongzhan Liu Lihong Cao Guojun Wang Jianguo Xie | 2024 | Tsinghua Science and Technology2024，29，2： | 0 |
| 10 | CNN-Based Broad Learning for Cross-Domain Emotion Classification显示文摘Cross-domain emotion classification aims to leverage useful information in a source domain to help predict emotion polarity in a target domain in a unsupervised or semi-supervised manner.Due to the domain discrepancy,an emotion classifier trained on source domain may not work well on target domain.Many researchers have focused on traditional cross-domain sentiment classification,which is coarse-grained emotion classification.However,the problem of emotion classification for cross-domain is rarely involved.In this paper,we propose a method,called convolutional neural network(CNN)based broad learning,for cross-domain emotion classification by combining the strength of CNN and broad learning.We first utilized CNN to extract domain-invariant and domain-specific features simultaneously,so as to train two more efficient classifiers by employing broad learning.Then,to take advantage of these two classifiers,we designed a co-training model to boost together for them.Finally,we conducted comparative experiments on four datasets for verifying the effectiveness of our proposed method.The experimental results show that the proposed method can improve the performance of emotion classification more effectively than those baseline methods. | Rong Zeng Hongzhan Liu Sancheng Peng Lihong Cao Aimin Yang Chengqing Zong Guodong Zhou | 2023 | Tsinghua Science and Technology2023，28，2： | 0 |
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