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229 results on '"Ling, Yunzhi"'

2. A Ship Target Intelligent Detection Algorithm Based on Improved YOLOv5s

Author

Dong, Mengchen, Yang, Jian, Xie, Fangyuan, Ling, Yunzhi, Yu, Weizhong, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, and Na, Zhenyu Na, editor

Published
2024
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6. FBLIM1 mRNA is a novel prognostic biomarker and is associated with immune infiltrates in glioma

Author

Deng Yifan, Zeng Kailiang, Wu Diancheng, Ling Yunzhi, Tian Yu, Zheng Yi, Fang Shumin, Jiang Xiaocong, Zhu Gang, and Tu Yanyang

Subjects
fblim1 mrna, immune cell infiltration, prognosis, biomarker, bioinformatics analysis, glioma, Medicine
Abstract

Glioma is the most common primary brain tumor. Filamin-binding LIM protein 1 (FBLIM1) has been identified in multiple cancers and is suspected of playing a part in the development of tumors. However, the potential function of FBLIM1 mRNA in glioma has not been investigated. In this study, the clinical information and transcriptome data of glioma patients were, respectively, retrieved from the TCGA and CGGA databases. The expression level of FBLIM1 mRNA was shown to be aberrant in a wide variety of malignancies. Significantly, when glioma samples were compared to normal brain samples, FBLIM1 expression was shown to be significantly elevated in the former. A poor prognosis was related to high FBLIM1 expression, which was linked to more advanced clinical stages. Notably, multivariate analyses demonstrated that FBLIM1 expression was an independent predictor for the overall survival of glioma patients. Immune infiltration analysis disclosed that FBLIM1 expression had relevance with many immune cells. The results of RT-PCR suggested that FBLIM1 expression was markedly elevated in glioma specimens. Functional experiments unveiled that the knockdown of FBLIM1 mRNA suppressed glioma cell proliferation. In general, we initially discovered that FBLIM1 mRNA might be a possible prognostic marker in glioma.

Published
2023
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12. Thermal Performance Analysis on shell-and-tube heat exchangers by Utilizing Liquid Carbon Dioxide for Mine Cooling.

Author

Yuan, Kaifeng, Liu, Yuanliang, Ling, Yunzhi, Wei, Jingsheng, and Liu, Zhan

Subjects
LIQUID carbon dioxide, HEAT exchangers, THERMAL analysis, PRESSURE drop (Fluid dynamics), TWO-phase flow
Abstract

Liquid carbon dioxide (LCO2) shows great potential in mitigating heat damage in high-temperature mines. To address cooling needs of mine working faces, a shell-and-tube heat exchanger utilizing LCO2 was designed and relevant performance parameters were analyzed. After analyzing 290 sets of experimental data, we compared 7 heat transfer models and pressure drop correlations for predicting CO2 two-phase flow, among which the lowest prediction errors are 23.7% and 18.8%, respectively. By adapting variable thermal properties of LCO2 from NIST (National Institute of Standards and Technology), the appropriate parameter size for the heat exchanger has been obtained through detailed iterative solutions. The various influencing factors were investigated as well. The results show that increasing the outside diameter from 9 mm to 10 mm and decreasing the baffle spacing from 140 mm to 100 mm significantly improves the heat transfer performance. However, the inner diameter and the mass flow rate have a greater impact on pressure drop than heat transfer, with final pressure drops of 5.9 kPa, 12.1 kPa, and 27.1 kPa, respectively. This work can serve as a foundation for further investigations on CO2 utilization and provide technical guidance for the design of LCO2 shell-and-tube heat exchangers. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Transition from Screw-Type to Edge-Type Misfit Dislocations at InGaN/GaN Heterointerfaces

Author

Li, Quantong, Minj, Albert, Ling, Yunzhi, Wang, Changan, He, Siliang, Ge, Xiaoming, He, Chenguang, Guo, Chan, Wang, Jiantai, Bao, Yuan, Liu, Zhuming, Ruterana, Pierre, IMEC (IMEC), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Centre de recherche sur les Ions, les MAtériaux et la Photonique (CIMAP - UMR 6252), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche sur les Matériaux Avancés (IRMA), Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Rouen Normandie (UNIROUEN), and Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[PHYS]Physics [physics], "InGaN/GaN heterostructures", "transmission electron microscopy", "indium composition", "screw-type dislocations", "edge-type misfit dislocations", [SPI]Engineering Sciences [physics]
Abstract

We have investigated the interface dislocations in InxGa1−xN/GaN heterostructures (0 ≤ x ≤ 0.20) using diffraction contrast analysis in a transmission electron microscope. The results indicate that the structural properties of interface dislocations depend on the indium composition. For lower indium composition (up to x = 0.09), we observed that the screw-type dislocations and dislocation half-loops occurred at the interface, even though the former do not contribute toward elastic relaxation of the misfit strain in the InGaN layer. With the increase in indium composition (0.13 ≤ x ≤ 0.17), in addition to the network of screw-type dislocations, edge-type misfit dislocations were generated, with their density gradually increasing. For higher indium composition (0.18 ≤ x ≤ 0.20), all of the interface dislocations are transformed into a network of straight misfit dislocations along the direction, leading to partial relaxation of the InGaN epilayer. The presence of dislocation half-loops may be explained by a slip on basal plane; formation of edge-type misfit dislocations are attributed to punch-out mechanism.

Published
2023

24. Critical care admission following elective surgery was not associated with survival benefit: prospective analysis of data from 27 countries

Author

Kahan, Brennan C., Koulenti, Desponia, Arvaniti, Kostoula, Beavis, Vanessa, Campbell, Douglas, Chan, Matthew, Moreno, Rui, Pearse, Rupert M., Pearse, Rupert M., Beattie, Scott, Clavien, Pierre-Alain, Demartines, Nicolas, Fleisher, Lee A., Grocott, Mike, Haddow, James, Hoeft, Andreas, Holt, Peter, Moreno, Rui, Pritchard, Naomi, Rhodes, Andrew, Wijeysundera, Duminda, Wilson, Matt, Ahmed, Tahania, Everingham, Kirsty, Hewson, Russell, Januszewska, Marta, Pearse, Rupert M., Phull, Mandeep-Kaur, Halliwell, Richard, Shulman, Mark, Myles, Paul, Schmid, Werner, Hiesmayr, Michael, Wouters, Patrick, de Hert, Stefan, Lobo, Suzana, Beattie, Scott, Wijeysundera, Duminda, Fang, Xiangming, Rasmussen, Lars, Futier, Emmanuel, Biais, Matthieu, Venara, Aurélien, Slim, Karem, Sander, Michael, Koulenti, Despoina, Arvaniti, Kostoula, Chan, Mathew, Kulkarni, Atul, Chandra, Susilo, Tantri, Aida, Geddoa, Emad, Abbas, Muntadhar, Della Rocca, Giorgio, Sivasakthi, Datin, Mansor, Marzida, Luna, Pastor, Bouwman, Arthur, Buhre, Wolfgang, Beavis, Vanessa, Campbell, Douglas, Short, Tim, Osinaike, Tunde, Matos, Ricardo, Grigoras, Ioana, Kirov, Mikhail, Protsenko, Denis, Biccard, Bruce, Aldecoa, Cesar, Chew, Michelle, Hofer, Christoph, Hubner, Martin, Ditai, James, Szakmany, Tamas, Fleisher, Lee, Ferguson, Marissa, MacMahon, Michael, Shulman, Mark, Cherian, Ritchie, Currow, Helen, Kanathiban, Kathirgamanathan, Gillespie, David, Pathmanathan, Edward, Phillips, Katherine, Reynolds, Jenifer, Rowley, Joanne, Douglas, Jeanene, Kerridge, Ross, Currow, Helen, Garg, Sameer, Bennett, Michael, Jain, Megha, Alcock, David, Terblanche, Nico, Cotter, Rochelle, Leslie, Kate, Stewart, Marcelle, Zingerle, Nicolette, Clyde, Antony, Hambidge, Oliver, Rehak, Adam, Cotterell, Sharon, Binh QuanHuynh, Wilson, McCulloch, Timothy, Ben-Menachem, Erez, Egan, Thomas, Cope, Jennifer, Halliwell, Richard, Fellinger, Paul, Haselberger, Simone, Holaubek, Caroline, Lichtenegger, Paul, Scherz, Florian, Schmid, Werner, Hoffer, Franz, Cakova, Veronika, Eichwalder, Andreas, Fischbach, Norbert, Klug, Reinhold, Schneider, Elisabeth, Vesely, Martin, Wickenhauser, Reinhart, Grubmueller, Karl Gernot, Leitgeb, Marion, Lang, Friedrich, Toro, Nancy, Bauer, Marlene, Laengle, Friedrich, Mayrhofer, Thomas, Buerkle, Christian, Forstner, Karin, Germann, Reinhard, Rinoesl, Harald, Schindler, Elke, Trampitsch, Ernst, Fritsch, Gerhard, Szabo, Christian, Bidgoli, Jawad, Verdoodt, Hans, Forget, Patrice, Kahn, David, Lois, Fernande, Momeni, Mona, Prégardien, Caroline, Pospiech, Audrey, Steyaert, Arnaud, Veevaete, Laurent, De Kegel, Dirk, De Jongh, Karen, Foubert, Luc, Smitz, Carine, Vercauteren, Marcel, Poelaert, Jan, Van Mossevelde, Veerle, Abeloos, Jacques, Bouchez, Stefaan, Coppens, Marc, De Baerdemaeker, Luc, Deblaere, Isabel, De Bruyne, Ann, De Hert, Stefan, Fonck, Kristine, Heyse, Bjorn, Jacobs, Tom, Lapage, Koen, Moerman, Anneliese, Neckebroek, Martine, Parashchanka, Aliaksandra, Roels, Nathalie, Van Den Eynde, Nancy, Vandenheuvel, Michael, Van Limmen, Jurgen, Vanluchene, Ann, Vanpeteghem, Caroline, Wouters, Patrick, Wyffels, Piet, Huygens, Christel, Vandenbempt, Punitha, Van de Velde, Marc, Dylst, Dimitri, Janssen, Bruno, Schreurs, Evelien, Aleixo, Fábia Berganton, Candido, Keulle, Dias Batista, Hugo, Guimarães, Mario, Guizeline, Jaqueline, Hoffmann, João, Lobo, Suzana M., Lobo, Francisco Ricardo, Nascimento, Vinícius, Nishiyama, Katia, Pazetto, Lucas, Souza, Daniela, Souza Rodrigues, Rodrigo, Vilela dos Santos, Ana Maria, Jardim, Jaquelline, Silva, Joao, do NascimentoJunior, Paulo, Baio, Thalissa Hermínia, Pereira de Castro, Gabriel Isaac, Watanabe Oliveira, Henri Roger, Amendola, Cristina Prata, Cardoso, Gutemberg, Ortega, Daniela, Brotto, Ana Flavia, De Oliveira, Mirella Cristine, Réa-Neto, Álvaro, Dias, Fernando, Azambuja, Pedro, Knibel, Marcos Freitas, Martins, Antonio, Almeida, William, Neto, Calim Neder, Tardelli, Maria Angela, Caser, Eliana, Machado, Marcio, Aguzzoli, Crisitiano, Baldisserotto, Sérgio, Beck Tabajara, Fernanda, Bettega, Fernanda, Rodrigues Júnior, La Hore Correa, de Gasperi, Julia, Faina, Lais, Nolasco, Marcos Farias, da Costa Fischer, Bruna Ferreira, de Campos Ferreira, Mariana Fosch, Hartmann, Cristina, Kliemann, Marta, Ribeiro, Gustavo LuisHubert, Fraga, Julia Merladete, Netto, Thiago Motta, Pozza, Laura Valduga, Wendling, Paulo Rafael, Azevedo, Caroline, Garcia, Juliana, Lopes, Marcel, Maia, Bernardo, Maselli, Paula, Melo, Ralph, Mendes, Weslley, Neves, Matheus, Ney, Jacqueline, Piras, Claudio, Applewhaite, Christopher, Carr, Adrienne, Chow, Lorraine, Duttchen, Kaylene, Foglia, Julena, Greene, Michael, Hinther, Ashley, Houston, Kendra, McCormick, Thomas Jared, Mikhayel, Jennifer, Montasser, Sam, Ragan, Alex, Suen, Andrew, Woolsey, Adrianna, Yu, Hai Chuan, Funk, Duane, Kowalski, Stephen, Legaspi, Regina, McDonald, Heather, Siddiqui, Faisal, Pridham, Jeremy, Rowe, Bernadette, Sampson, Sonia, Thiessen, Barton, Zbitnew, Geoff, Bernard, Andre, George, Ronald, Jones, Philip, Moor, Rita, Siddiqui, Naveed, Wolfer, Alexandra, Tran, Diem, Winch, Denyse, Dobson, Gary, Hinther, Ashley, McCormick, Thomas, Montasser, Osama, Suen, Andrew, Woolsey, Adrianna, Bernard, Andre, George, Ronald, Hall, Richard, Bernard, Andre, George, Ronald, Hall, Richard, Applewhaite, Christopher, Baghirzada, Leyla, McCormick, Thomas Jared, Suen, Andrew, Dai, Si Yuan, Hare, Gregory, Lee, Esther, Shastri, Uma, Tsui, Albert, Yagnik, Anmol, Alvares, Danielle, Choi, Stephen, Dwyer, Heather, Flores, Kathrina, McCartney, Colin, Somascanthan, Priya, Beattie, Scott, Carroll, Jo, Pazmino-Canizares, Janneth, Wijeysundera, Duminda, Wolfer, Alexandra, Ami, Noam, Chan, Vincent, Perlas, Anahi, Argue, Ruth, Lavis, Katie, Mayson, Kelly, Cao, Ying, Gao, Hong, hu, tingju, Lv, Jie, Yang, Jian, Yang, Yang, Zhong, Yi, Zhou, Jing, Zou, Xiaohua, He, Miao, Li, Xiaoying, Luo, Dihuan, Wang, Haiying, Yu, Tian, Chen, Liyong, Wang, Lijun, Cai, Yunfei, Cao, Zhongming, Li, Yanling, Lian, Jiaxin, Sun, Haiyun, Wang, Sheng, Wang, Zhipeng, Wang, Kenru, Zhu, Yi, Du, Xindan, Fan, Hao, Fu, Yunbin, Huang, Lixia, Huang, Yanming, Hwan, Haifang, Luo, Hong, Qu, Pi-Sheng, Tao, Fan, Wang, Zhen, Wang, Guoxiang, Wang, Shun, Zhang, Yan, Zhang, Xiaolin, Chen, Chao, Wang, Weixing, Liu, Zhengyuan, Fan, Lihua, Tang, Jing, Chen, Yijun, Chen, Yongjie, Han, Yangyang, Huang, Changshun, Liang, Guojin, Shen, Jing, Wang, Jun, Yang, Qiuhong, Zhen, Jungang, Zhou, Haidong, Chen, Junping, Chen, Zhang, Li, Xiaoyu, Meng, Bo, Ye, Haiwang, Zhang, Xiaoyan, Bi, Yanbing, Cao, Jianqiao, Guo, Fengying, Lin, Hong, Liu, Yang, Lv, Meng, Shi, Pengcai, Song, Xiumei, Sun, Chuanyu, Sun, Yongtao, Wang, Yuelan, Wang, Shenhui, Zhang, Min, Chen, Rong, Hou, Jiabao, Leng, Yan, Meng, Qing-tao, Qian, Li, Shen, Zi-ying, Xia, Zhong-yuan, Xue, Rui, Zhang, Yuan, Zhao, Bo, Zhou, Xian-jin, Chen, Qiang, Guo, Huinan, Guo, Yongqing, Qi, Yuehong, Wang, Zhi, Wei, Jianfeng, Zhang, Weiwei, Zheng, Lina, Bao, Qi, Chen, Yaqiu, Chen, Yijiao, Fei, Yue, Hu, Nianqiang, Hu, Xuming, Lei, Min, Li, Xiaoqin, Lv, Xiaocui, Lv, Jie, Miao, Fangfang, Ouyang, Lingling, Qian, Lu, Shen, Conyu, Sun, Yu, Wang, Yuting, Wang, Dong, Wu, Chao, Xu, Liyuan, Yuan, Jiaqi, Zhang, Lina, Zhang, Huan, Zhang, Yapping, Zhao, Jinning, Zhao, Chong, Zhao, Lei, Zheng, Tianzhao, Zhou, Dachun, Zhou, Haiyan, Zhou, Ce, Lu, Kaizhi, Zhao, Ting, He, Changlin, Chen, Hong, Chen, Shasha, Cheng, Baoli, He, Jie, Jin, Lin, Li, Caixia, Li, Hui, Pan, Yuanming, Shi, Yugang, Wen, Xiao Hong, Wu, Shuijing, Xie, Guohao, Zhang, Kai, Zhao, Bing, Lu, Xianfu, Chen, Feifei, Liang, Qisheng, Lin, Xuewu, Ling, Yunzhi, Liu, Gang, Tao, Jing, Yang, Lu, Zhou, Jialong, Chen, Fumei, Feng, Yunlin, Hou, Benchao, Lin, Jiamei, Liu, Mei, Luo, Foquan, Shi, Xiaoyun, Xiong, Yingfen, Xu, Lin, Yang, Shuangjia, Zhang, Qin, Zhang, Huaigen, Zhao, Weihong, Zhao, Weilu, Bai, Yun, Chen, Linbi, Chen, Sijia, Dai, Qinxue, Geng, Wujun, Han, Kunyuan, He, Xin, Huang, Luping, Ji, Binbin, Jia, Danyun, Jin, Shenhui, Li, Qianjun, Liang, Dongdong, Luo, Shan, Lwang, Lulu, Mo, Yunchang, Pan, Yuanyuan, Qi, Xinyu, Qian, Meizi, Qin, Jinling, Ren, Yelong, Shi, Yiyi, Wang, Junlu, Wang, Junkai, Wang, Leilei, Xie, Junjie, Yan, Yixiu, Yao, Yurui, Zhang, Mingxiao, Zhao, Jiashi, Zhuang, Xiuxiu, Ai, Yanqiu, Du, Fang, He, Long, Huang, Ledan, Li, Zhisong, Li, Huijuan, Li, Yetong, Li, Liwei, Meng, Su, Yuan, Yazhuo, Zhang, Enman, Zhang, Jie, Zhao, Shuna, Ji, Zhenrong, Pei, Ling, Wang, Li, Chen, Chen, Dong, Beibei, Li, Jing, Miao, Ziqiang, Mu, Hongying, Qin, Chao, Su, Lin, Wen, Zhiting, Xie, Keliang, Yu, Yonghao, Yuan, Fang, Hu, Xianwen, Zhang, Ye, Xiao, Wangpin, Zhu, Zhipeng, Dai, Qingqing, Fu, Kaiwen, Hu, Rong, Hu, Xiaolan, Huang, Song, Li, Yaqi, Liang, Yingping, Yu, Shuchun, Guo, Zheng, Jing, Yan, Tang, Na, Wu, Jie, Yuan, Dajiang, Zhang, Ruilin, Zhao, Xiaoying, Li, Yuhong, Bai, Hui-Ping, Liu, Chun-Xiao, Liu, Fei-Fei, Ren, Wei, Wang, Xiu-Li, Xu, Guan-Jie, Hu, Na, Li, Bo, Ou, Yangwen, Tang, Yongzhong, Yao, Shanglong, Zhang, Shihai, Kong, Cui-Cui, Liu, Bei, Wang, Tianlong, Xiao, Wei, Lu, Bo, Xia, Yanfei, Zhou, Jiali, Cai, Fang, Chen, Pushan, Hu, Shuangfei, Wang, Hongfa, Wu, Jie, Xu, Qiong, Hu, Liu, Jing, Liang, Li, Jing, Li, Bin, Liu, Qiang, Liu, Yuejiang, Lu, Xinjian, Peng, Zhen Dan, Qiu, Xiaodong, Ren, Quan, Tong, Youliang, Wang, Zhen, Wang, Jin, Wen, Yazhou, Wu, Qiong, Xia, Jiangyan, Xie, Jue, Xiong, Xiapei, Xu, Shixia, Yang, Tianqin, Ye, Hui, Yin, Ning, Yuan, Jing, Zeng, Qiuting, Zhang, Baoling, Zheng, Kang, Cang, Jing, Chen, Shiyu, Du, Fang, Fan, Yu, Fu, Shuying, Ge, Xiaodong, Guo, Baolei, Huang, Wenhui, Jiang, Linghui, Jiang, Xinmei, Jin, Lin, Liu, Yi, Pan, Yan, Ren, Yun, Shan, Qi, Wang, Jiaxing, Wang, Fei, Wu, Chi, Zhang, Xiaoguang, Christiansen, Ida Cecilie, Granum, Simon Nørgaard, Rasmussen, Bodil Steen, Daugaard, Morten, Gambhir, Rajiv, Steingrímsdóttir, Guðný Erla, Jensen-Gadegaard, Peter, Olsen, Karsten Skovgaard, Siegel, Hanna, Zwicky Eskildsen, Katrine, Gätke, Mona Ring, Wibrandt, Ida, Heintzelmann, Simon Bisgaard, Lange, Kai Henrik Wiborg, Lundsgaard, Rune Sarauw, Amstrup-Hansen, Louise, Hovendal, Claus, Larsen, Michael, Lenstrup, Mette, Kobborg, Tina, Larsen, Jens Rolighed, Pedersen, Anette Barbre, Larsen, Jens Rolighed, Smith, Søren Hübertz, Oestervig, Rebecca Monett, Rasmussen, Lars, Afshari, Arash, Andersen, Cheme, Ekelund, Kim, Secher, Erik Lilja, Brandsborg, Birgitte, Beloeil, Helene, Lasocki, Sigismond, Venara, Aurélien, Biais, Matthieu, Ouattara, Alexandre, Sineus, Marlene, Molliex, Serge, Legouge, Marie Lim, Wallet, Florent, Tesniere, Antoine, Gaudin, Christophe, Lehur, Paul, Forsans, Emma, de Rudnicki, Stéphane, Serra Maudet, Valerie, Mutter, Didier, Sojod, Ghassan, Ouaissi, Mehdi, Regimbeau, Jean-Marc, Futier, Emmanuel, Desbordes, Jacques, Comptaer, Nicolas, elManser, Diae, Ethgen, Sabine, Lebuffe, Gilles, Auer, Patrick, Härtl, Christine, Deja, Maria, Legashov, Kirill, Sonnemann, Susanne, Wiegand-Loehnert, Carola, Falk, Elke, Habicher, Marit, Angermair, Stefan, Laetsch, Beatrix, Schmidt, Katrin, Sonnemann, Susanne, Von Heymann, Christian, Ramminger, Axel, Jelschen, Florian, Pabel, Svenja, Weyland, Andreas, Czeslick, Elke, Gille, Jochen, Malcharek, Michael, Sablotzki, Armin, Lueke, Katharina, Wetzel, Peter, Weimann, Joerg, Lenhart, Franz-Peter, Reichle, Florian, Schirmer, Frederike, Hüppe, Michael, Klotz, Karl, Nau, Carla, Schön, Julika, Mencke, Thomas, Wasmund, Christina, Bankewitz, Carla, Baumgarten, Georg, Fleischer, Andreas, Guttenthaler, Vera, Hack, Yvonne, Hoeft, Andreas, Kirchgaessner, Katharina, Männer, Olja, Schurig-Urbaniak, Marlen, Struck, Rafael, vanZyl, Rebekka, Wittmann, Maria, Goebel, Ulrich, Harris, Sarah, Veit, Siegfried, Andreadaki, Evangelia, Souri, Flora, Katsiadramis, Ioannis, Skoufi, Anthi, Vasileiou, Maria, Aimoniotou-Georgiou, Eleni, Katsourakis, Anastasios, Veroniki, Fotini, Vlachogianni, Glyceria, Petra, Konstantina, Chlorou, Dimitra, Oloktsidou, Eirini, Ourailoglou, Vasileios, Papapostolou, Konstantinos, Tsaousi, Georgia, Daikou, Panagoula, Dedemadi, Georgia, Kalaitzopoulos, Ioannis, Loumpias, Christos, Bristogiannis, Sotirios, Dafnios, Nikolaos, Gkiokas, Georgios, Kontis, Elissaios, Kozompoli, Dimitra, Papailia, Aspasia, Theodosopoulos, Theodosios, Bizios, Christol, Koutsikou, Anastasia, Moustaka, Aleaxandra, Plaitakis, Ioannis, Armaganidis, Apostolos, Christodoulopoulou, Theodora, Lignos, Mihail, Theodorakopoulou, Maria, Asimakos, Andreas, Ischaki, Eleni, Tsagkaraki, Angeliki, Zakynthinos, Spyros, Antoniadou, Eleni, Koutelidakis, Ioannis, Lathyris, Dimitrios, Pozidou, Irene, Voloudakis, Nikolaos, Dalamagka, Maria, Gkonezou, Elena, Chronis, Christos, Manolakaki, Dimitra, Mosxogiannidis, Dimitris, Slepova, Tatiana, Tsakiridou, Isaia–sissy, Lampiri, Claire Lampiri, Vachlioti, Anastasia Vachlioti, Panagiotakis, Christos Panagiotakis, Sfyras, Dimitrios Sfyras, Tsimpoukas, FotiosTsimpoukas, Tsirogianni, Athanasia, Axioti, Elena, Filippopoulos, Andreas, Kalliafa, Elli, Kassavetis, George, Katralis, Petros, Komnos, Ioannis, Pilichos, Georgios, Ravani, Ifigenia, Totis, Antonis, Apagaki, Eymorfia, Efthymiadi, Andromachi, Kampagiannis, Nikolaos, Paraforou, Theoniki, Tsioka, Agoritsa, Georgiou, Georgios, Vakalos, Aristeidis, Bairaktari, Aggeliki, Charitos, Efthimios, Markou, George, Niforopoulou, Panagiota, Papakonstantinou, Nikolaos, Tsigou, Evdoxia, Xifara, Archontoula, Zoulamoglou, Menelaos, Gkioni, Panagiota, Karatzas, Stylianos, Kyparissi, Aikaterini, Mainas, Efstratios, Papapanagiotou, Ioannis, Papavasilopoulou, Theonymfi, Fragandreas, George, Georgopoulou, Eleni, Katsika, Eleni, Psarras, Kyriakos, Synekidou, Eirini, Verroiotou, Maria, Vetsiou, Evangelia, Zaimi, Donika, Anagnou, Athina, Apostolou, Konstantinos, Melissopoulou, Theodora, Rozenberg, Theophilos, Tsigris, Christos, Boutsikos, Georgios, Kalles, Vasileios, Kotsalas, Nikolaos, Lavdaiou, Christina, Paikou, Fotini, Panagou, Georgia-Laura, Spring, Anna, Arvaniti, Kostoula, Botis, Ioannis, Drimala, Maria, Georgakakis, Georgios, Kiourtzieva, Ellada, Ntouma, Panagiota, Prionas, Apostolos, Xouplidis, Kyriakos, Dalampini, Eleftheria, Giannaki, Chrysavgi, Iasonidou, Christina, Ioannidis, Orestis, Lavrentieva, Athina, Lavrentieva, Athena, Papageorgiou, George, Kokkinoy, Maria, Stafylaraki, Maria, Gaitanakis, Stylianos, Karydakis, Periclis, Paltoglou, Josef, Ponireas, Panagiotis, Chaloulis, Panagiotis, Provatidis, Athanasios, Sousana, Anisoglou, Gardikou, Varvara Vanessa, Konstantivelli, Maria, Lataniotou, Olga, Lisari, Elisavet, Margaroni, Maria, Stamatiou, Konstantinos, Nikolaidis, Edouardos, Pnevmatikos, Ioannis, Sertaridou, Eleni, Andreou, Alexandros, Arkalaki, Eleni, Athanasakis, Elias, Chaniotaki, Fotini, Chatzimichali, Aikaterini, Christofaki, Maria, Dermitzaki, Despina, Fiorentza, Klara, Frantzeskos, Georgios, Geromarkaki, Elisavet, Kafkalaki, Kalliopi, Kalogridaki, Marina, Karydi, Konstyllia, Kokkini, Sofia, Kougentakis, Georgios, Lefaki, Tatiana, Lilitsis, Emmanouhl, 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Amir, Shekar, Priya, Harden, Catherine, Hollands, Heidi, King, Angela, March, Linda, Minto, Gary, Patrick, Abigail, Waugh, Darren, Kumara, Paramesh, Simeson, Karen, Yarwood, Jamie, Browning, Julie, Hatton, Jonathan, Julian, Howes, Mitra, Atideb, Newton, Maria, Pernu, Pawan, Wilson, Alison, Commey, Thelma, Foot, Helen, Glover, Lyn, Gupta, Ajay, Lancaster, Nicola, Levin, Jill, Mackenzie, Felicity, Mestanza, Claire, Nofal, Emma, Pout, Lauren, Varden, Rosanna, Wild, Jonathan, Jones, Stephanie, Moreton, Sarah, Pulletz, Mark, Davies, Charlotte, Martin, Matthew, Thomas, Sian, Burns, Karen, McArthur, Carol, Patel, Panna, Lau, Gary, Rich, Natalie, Davis, Fiona, Self, James, Lyons, Rachel, Port, Beth, Prout, Rachel, Smith, Christopher, Adelaja, Yemi, Bennett, Victoria, Bidd, Heena, Dumitrescu, Alexandra, Murphy, Jacqui Fox, Keen, Abigail, Mguni, Nhlanhla, Ong, Cheng, Adams, George, Boshier, Piers, Brown, Richard, Butryn, Izabella, Chatterjee, Jayanta, Freethy, Alexander, Lockwood, Geoffrey, Tsakok, Maria, Tsiligiannis, Sophia, Peat, William, Stephenson, Lorraine, Bradburn, Mike, Pick, Sara, Cunha, Pedro, Olagbaiye, Olufemi, Tayeh, Salim, Abernethy, Caroline, Balasubramaniam, Madhu, Bennett, Rachael, Bolton, David, Martinson, Victoria, Naylor, Charde, Smith, Neil, Bell, Stephanie, Heather, Blaylock, Kushakovsky, Vlad, Alcock, Liam, Alexander, Hazel, Anderson, Colette, Baker, Paul, Brookes, Morag, Cawthorn, Louise, Cirstea, Emanuel, Colling, Kerry, Coulter, Ian, Das, Suparna, Haigh, Kathryn, Hamdan, Alhafidz, Hugill, Keith, Kottam, Lucksy, Lisseter, Emily, Mawdsley, Matthew, McGivern, Julie, Padala, Krishnaveni, Phelps, Victoria, kumar, Vineshykaa Ramesh, Stewart, Kirsten, Towse, Kayley, Tregonning, Julie, Vahedi, Ali, Walker, Alycon, Baines, Duncan, Bilolikar, Anjali, Chande, Shiv, Copley, Edward, Dunk, Nigel, Kulkarni, Raghavendra, Kumar, Pawan, Metodiev, Yavor, Ncomanzi, Dumisani, Raithatha, Bhavesh, Raymode, Parizade, Szafranski, Jan, Twohey, Linda, Watt, Philip, Weatherall, Lucie, Weatherill, J., Whitman, Zoe, Wighton, Elinor, Abayasinghe, Chamika, Chan, Alexander, Darwish, Sharif, Gill, James, Glasgow, Emma, Hadfield, Daniel, Harris, Clair, Kochhar, Arun, Mellis, Clare, Pool, Andrew, Riozzi, Paul, Selman, Andrew, Smith, Emma-Jane, Vele, Liana, Gercek, Yuksel, Guy, Kramer, Holden, Douglas, Watson, Nicholas, Whysall, Karen, Andreou, Prematie, Hales, Dawn, Thompson, Jonathan, Bowrey, Sarah, McDonald, Shara, Thompson, Jonathan, Gilmore, Jemma, Hills, Vicky, Kelly, Chan, Kelly, Sinead, Lloyd, Geraint, Abbott, Tom, Gall, Lewis, Torrance, Hew, Vivian, Mark, Berntsen, Emer, Nolan, Tracey, Turner, Angus, Vohra, Akbar, Brown, Andrew, Clark, Richard, Coughlan, Elaine, Daniel, Conway, Patvardhan, Chinmay, Pearson, Rachel, Predeep, Sheba, Saad, Hesham, Shanmugam, Mohanakrishnan, Varley, Simon, Vohra, Akbar, Wylie, Katharine, Cooper, Lucy, Makowski, Arystarch, Misztal, Beata, Moldovan, Eliza, Pegg, Claire, Donovan, Andrew, Foot, Jayne, Large, Simon, Claxton, Andrew, Netke, Bhagyashree, Armstrong, Richard, Calderwood, Claire, Kwok, Andy, Mohr, Otto, Oyeniyi, Peter, Patnaik, Lisa, Post, Benjamin, Ali, Sarah, Arshad, Homa, Baker, Gerard, Brenner, Laura, Brincat, Maximilian, Brunswicker, Annemarie, Cox, Hannah, Cozar, Octavian Ionut, Durst, Alexander, Fengas, Lior, Flatt, Jim, Glister, Georgina, Narwani, Vishal, Photi, Evangelos, Rankin, Adeline, Rosbergen, Melissa, Tan, Mark, Beaton, Ceri, Horn, Rachel, Hunt, Jane, Rousseau, Guy, Stancombe, Lucia, Absar, Mohammed, Allsop, Joanne, Drinkwater, Zoe, Hodgkiss, Tracey, Smith, Kirsty, Brown, Jamie, Pick, Sara, Alexander-Sefre, Farhad, Campey, Lorraine, Dudgeon, Lucy, Hall, Kathryn, Hitchcock, Rachael, James, Lynne, Smith, Kate, Winstone, Ulrika, Ahmad, Norfaizan, Bauchmuller, Kris, Harrison, Jonathan, Jeffery, Holly, Miller, Duncan, Pinder, Angela, Pothuneedi, Sailaja, Rosser, Jonathan, Sanghera, Sumayer, Swift, Diane, Walker, Rachel, Bester, Delia, Cavanagh, Sarah, Cripps, Heather, Daniel, Harvey, Lynch, Julie, Paton, Alison, Pyke, Shirley, Scholefield, John, Whitworth, Helen, Bottrill, Fiona, Ramalingam, Ganesh, Webb, Stephen, Akerman, Nik, Antill, Philip, Bourner, Lynsey, Buckley, Sarah, Castle, Gail, Charles, Rob, Eggleston, Christopher, Foster, Rebecca, Gill, Satwant, Lindley, Kate, Lklouk, Mohamed, Lowery, Tracey, Martin, Oliver, Milne, David, O’Connor, Patrick, Ratcliffe, Andrew, Rose, Alastair, Simeson, Karen, Smith, Annie, Varma, Sandeep, Ward, Jackie, Simeson, Karen, Barcraft-Barnes, Helena, Camsooksai, Julie, Colvin, Carolyn, Reschreiter, Henrik, Tbaily, Lee, Venner, Nicola, Hamilton, Caroline, Kelly, Lewis, Toth-Tarsoly, Piroska, Dodsworth, Kerry, Foord, Denise, Gordon, Paul, Hawes, Elizabeth, Lamb, Nikki, Mouland, Johanna, Nightingale, Jeremy, Rose, Steve, Schrieber, Joe, Al ‘Amri, Khalid, Aladin, Hafiz, Arshad, Mohammed Asif, Barraclough, James, Bentley, Conor, Bergin, Colin, Carrera, Ronald, Clarkson, Aisling, Collins, Michelle, Cooper, Lauren, Denham, Samuel, Griffiths, Ewen, Ip, Peter, Jeyanthan, Somasundaram, Joory, Kavita, Kaur, Satwant, Marriott, Paul, Mitchell, Natalie, Nagaiah, Sukumar, Nilsson, Annette, Parekh, Nilesh, Pope, Martin, Seager, Joseph, Serag, Hosam, Tameem, Alifia, Thomas, Anna, Thunder, Joanne, Torrance, Andrew, Vohra, Ravinder, whitehouse, Arlo, Wong, Tony, Blunt, Mark, Wong, Kate, Giles, Julian, Reed, Isabelle, Weller, Debbie, Bell, Gillian, Birch, Julie, Damant, Rose, Maiden, Jane, Mewies, Clare, Prince, Claire, Radford, Jane, Balain, Birender, Banerjee, Robin, Barnett, Andrew, Burston, Ben, Davies, Kirsty, Edwards, Jayne, Evans, Chris, Ford, David, Gallacher, Pete, Hill, Simon, Jaffray, David, Karlakki, Sudheer, Kelly, Cormac, Kennedy, Julia, Kiely, Nigel, Lewthwaite, Simon, Marquis, Chris, Ockendon, Matthew, Phillips, Stephen, Pickard, Simon, Richardson, James, Roach, Richard, Smith, Tony, Spencer-Jones, Richard, Steele, Niall, Steen, Julie, Van Liefland, Marck, White, Steve, Faulds, Matthew, Harris, Meredyth, Kelly, Carrie, Nicol, Scott, Pearson, Sally Anne, Chukkambotla, Srikanth, Andrew, Alyson, Attrill, Elizabeth, Campbell, Graham, Datson, Amanda, Fouracres, Anna, Graterol, Juan, Graves, Lynne, Hong, Bosun, Ishimaru, Alexander, Karthikeyan, Arvind, King, Helen, Lawson, Tom, Lee, Gregory, Lyons, Saoirse, Macalister Hall, Andrew, Mathoulin, Sophie, Mcintyre, Eilidh, Mclaughlin, Danny, Mulcahy, Kathleen, Ratcliffe, Anna, Robbins, James, Sung, Weilin, Tayo, Adeoluwa, Trembath, Lisa, Venugopal, Suneetha, Walker, Robert, Wigmore, Geoffrey, Boereboom, Catherine, Downes, Charlotte, Humphries, Ryan, Melbourne, Susan, Smith, Coral, Tou, Samson, Ullah, Shafa, Batchelor, Nick, Boxall, Leigh, Broomby, Rupert, Deen, Tariq, Hellewell, Alistair, Helliwell, Laurence, Hutchings, Melanie, Hutchins, David, Keenan, Samantha, Mackie, Donna, Donna, Alison, Smith, Frances, Stone, Lucy, Thorpe, Kevin, Wassall, Richard, Woodgate, Andrew, Baillie, Shelley, Campbell, Tara, James, Sarah, King, Chris, Marques de Araujo, Daniela, Martin, Daniel, Morkane, Clare, Neely, Julia, Rajendram, Rajkumar, Burton, Megan, James, Kathryn, Keevil, Edward, Minik, Orsolya, Morgan, Jenna, Musgrave, Anna, Rajanna, Harish, Roberts, Tracey, Szakmany, Tamas, Adamson, Michael, Jumbe, Sandra, Kendall, Jennie, Muthuswamy, Mohan Babu, Anderson, Charlotte, Cruikshanks, Andrew, Pothuneedi, Sailaja, Walker, Rachel, Wrench, Ian, Zeidan, Lisa, Ardern, Diane, Harris, Benjamin, Hellstrom, Johanna, Martin, Jane, Thomas, Richard, Varsani, Nimu, Wrey Brown, Caroline, Docherty, Philip, Gillies, Michael, McGregor, Euan, Usher, Helen, Craig, Jayne, Smith, Andrew, Ahmad, Tahania, Bodger, Phoebe, Creary, Thais, Everingham, Kirsty, Fowler, Alexander, Hewson, Russ, Ijuo, Eke, Januszewska, Marta, Jones, Timothy, Kantsedikas, Ilya, Lahiri, Sumitra, McLean, Aaron Lawson, Niebrzegowska, Edyta, Phull, Mandeep, Wang, Difei, Wickboldt, Nadine, Baldwin, Jacqueline, Doyle, Donna, Mcmullan, Sean, Oladapo, Michelle, Owen, Thomas, Tripathi, Shiva, Williams, Alexandra, Daniel, Hull, Gregory, Peter, Husain, Tauqeer, Kirk-Bayley, Justin, Mathers, Edward, Montague, Laura, White, Stuart, Avis, Joanne, Cook, Tim, Dali-Kemmery, Lola, Kerslake, Ian, Lambourne, Victoria, Pearson, Annabel, Boyd, Christine, Callaghan, Mark, Lawson, Cathy, McCrossan, Roopa, Nesbitt, Vanessa, O’connor, Laura, Scott, Julia, Sinclair, Rhona, Farid, Nahla, Morgese, Ciro, Bhatia, Kailash, Karmarkar, Swati, Vohra, Akbar, Ahmed, Jamil, Branagan, Graham, Hutton, Monica, Swain, Andrew, Brookes, Jamie, Cornell, Jonathan, Dolan, Rachael, Hulme, Jonathan, Jansen van Vuuren, Amanda, Jowitt, Tom, Kalashetty, Gunasheela, Lloyd, Fran, Patel, Kiran, Sherwood, Nicholas, Brown, Lynne, Chandler, Ben, Deighton, Kerry, Emma, Temlett, Haunch, Kirsty, Cheeseman, Michelle, Dent, Kathy, Garg, Sanjeev, Gray, Carol, Hood, Marion, Jones, Dawn, Juj, Joanne, Mitra, Atideb, Rao, Roshan, Walker, Tara, Al Anizi, Mashel, Cheah, Clarissa, Cheing, Yushio, Coutinho, Francisco, Gondo, Prisca, Hadebe, Bernard, Onie Hove, Mazvangu, khader, Ahamed, Krishnachetty, Bobby, Rhodes, Karen, Sokhi, Jagdish, Baker, Katie-Anne, Bertram, Wendy, Looseley, Alex, Mouton, Ronelle, Arnold, Glenn, Arya, Shobhit, Balfoussia, Danai, Baxter, Linden, Harris, James, Jones, Craig, Knaggs, Alison, Markar, Sheraz, Perera, Anisha, Scott, Alasdair, Shida, Asako, Sirha, Ravneet, Wright, Sally, Frost, Victoria, Gray, Catherine, MacGregor, Mark, Andrews, Emma, Arrandale, Lindsay, Barrett, Stephen, Bidd, Heena, Cifra, Elna, Cooper, Mariese, Dragnea, Dragos, Elna, Cifra, Maclean, Jennifer, Meier, Sonja, Milliken, Donald, Munns, Christopher, Ratanshi, Nadir, Salvana, Abegail, Watson, Anthony, Ali, Hani, Campbell, Gill, Critchley, Rebecca, Hicks, Catherine, Liddle, Alison, Pass, Marc, Ritchie, Charlotte, Thomas, Charlotte, Too, Lingxi, Welsh, Sarah, Gill, Talvinder, Johnson, Joanne, Reed, Joanne, Davis, Edward, Papadopoullos, Sam, Attwood, Clare, Biffen, Andrew, Boulton, Kerenza, Gray, Sophie, Hay, David, Mills, Sarah, Montgomery, Jane, Riddell, Rory, Simpson, James, Bhardwaj, Neeraj, Paul, Elaine, Uwubamwen, Nosakhare, Vohra, Akbar, Berntsen, Emer, Nolan, Tracey, Turner, Angus, Alexander, Maini, Arrich, James, Arumugam, Swarna, Blackwood, Douglas, Boggiano, Victoria, Brown, Robyn, Lam Chan, Yik, Chatterjee, Devnandan, Chhabra, Ashok, Christian, Rachel, Costelloe, Hannah, CoxwellMatthewman, Madeline, Dalton, Emma, Darko, Julia, Davari, Maria, Dave, Tejal, Deacon, Matthew, Deepak, Shantal, Edmond, Holly, Ellis, Jessica, El-Sayed, Ahmed, Eneje, Philip, English, Rose, Ewe, Renee, Foers, William, Franklin, John, Gallego, Laura, Garrett, Emily, Goldberg, Olivia, Goss, Harry, Greaves, Rosanna, Harris, Rudy, Hennings, Charles, Jones, Eleanor, Kamali, Nelson, Kokkinos, Naomi, Lewis, Carys, Lignos, Leda, Malgapo, Evaleen Victoria, Malik, Rizwana, Milne, Andrew, Mulligan, John-Patrick, Nicklin, Philippa, Palipane, Natasha, Parsons, Thomas, Piper, Rebecca, Prakash, Rohan, Ramesh, Byron, Rasip, Sarah, Reading, Jacob, Rela, Mariam, Reyes, Anna, Robert, Stephens, Rooms, Martin, Shah, Karishma, Simons, Henry, Solanki, Shalil, Spowart, Emma, Stevens, Amy, Thomas, Christopher, Waggett, Helena, Yassaee, Arrash, Kennedy, Anthony, Scott, Sara, Somanath, Sameer, Berg, Andrew, Hernandez, Miguel, Nanda, Rajesh, Tank, Ghanshyambhai, Wilson, Natalie, Wilson, Debbie, Al-Soudaine, Yassr, Baldwin, Matthew, Cornish, Julie, Davies, Zoe, Davies, Leigh, Edwards, Marc, Frewer, Natasha, Gallard, Sian, Glasbey, James, Harries, Rhiannon, Hopkins, Luke, Kim, Taeyang, Koompirochana, Vilavan, Lawson, Simon, Lewis, Megan, Makzal, Zaid, Scourfield, Sarah, Ahmad, Yousra, Bates, Sarah, Blackwell, Clare, Bryant, Helen, Coulter, Suzanne, Cruickshank, Ross, Daniel, Sonya, Daubeny, Thomas, Edwards, Mark, Golder, Kim, Hawkins, Lesley, Helen, Bryant, Hinxman, Honor, Levett, Denny, Skinner, Ben, Walsgrove, Joseph, Bradburn, Mike, Dickson, Jane, Constantin, Kathryn, Karen, Markwell, O’Brien, Peter, O’Donohoe, Lynn, Payne, Hannah, Sundayi, Saul, Walker, Elaine, Brooke, Jenny, Cardy, Jon, Humphreys, Sally, Kessack, Laura, Kubitzek, Christiane, Kumar, Suhas, Cotterill, Donna, Hodzovic, Emil, Hosdurga, Gurunath, Miles, Edward, Saunders, Glenn, Campbell, Marta, Chan, Peter, Jemmett, Kim, Raj, Ashok, Naik, Aditi, Ramamoorthy, Rajarajan, Shah, Nimesh, Sylvan, Axel, Blyth, Katharine, Burtenshaw, Andrew, Freeman, David, Johnson, Emily, Lo, Philip, Martin, Terry, Plunkett, Emma, Wollaston, Julie, Allison, Joanna, Carroll, Christine, Craw, Nicholas, Craw, Sarah, Pitt-Kerby, Tressy, Rowland-Axe, Rebecca, Spurdle, Katie, McDonald, Andrew, Simon, Davies, Sinha, Vivek, Smith, Thomas, Banner-Goodspeed, Valerie, Boone, Myles, Campbell, Kathleen, Lu, Fengxin, Scannell, Joseph, Sobol, Julia, Balajonda, Naraida, Clemmons, Karen, Conde, Carlos, Funk, Bonita, Hall, Roger, Hopkins, Thomas, Olaleye, Omowunmi, Omer, Omer, Pender, Michelle, Porto, Angelo, Stevens, Alice, Waweru, Peter, Yeh, Erlinda, Bodansky, Daniella, Evans, Adam, Kleopoulos, Steven, Maril, Robert, Mathney, Edward, Sanchez, Angela, Tinuoye, Elizabeth, Bateman, Brian, Eng, Kristen, Jiang, Ning, Ladha, Karim, Needleman, Joseph, Chen, Lee-lynn, Chen, Lee-lynn, Lane, Rondall, Robinowitz, David, Ghushe, Neil, Irshad, Mariam, Patel, Samir, Takemoto, Steven, Wallace, Art, Mazzeffi, Michael, Rock, Peter, Wallace, Karin, Zhu, Xiaomao, Chua, Pandora, Fleisher, Lee, Mattera, Matthew, Sharar, Rebecca, Thilen, Stephan, Treggiari, Miriam, Morgan, Angela, Sofjan, Iwan, Subramaniam, Kathirvel, Avidan, Michael, Maybrier, Hannah, Muench, Maxwell, Wildes, Troy, and The International Surgical Outcomes Study (ISOS) group

Published
2017
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33. Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation

Author

Ying Wang, Xin Wang, and Ling Yunzhi

Subjects
Information retrieval, Computer science, Mechanism (biology), Representation (systemics), Heterogeneous information, General Medicine, Style (sociolinguistics)
Abstract

Explainable Recommendation aims at not only providing the recommended items to users, but also making users aware why these items are recommended. Too many interactive factors between users and items can be used to interpret the recommendation in a heterogeneous information network. However, these interactive factors are usually massive, implicit and noisy. The existing recommendation explanation approaches only consider the single explanation style, such as aspect-level or review-level. To address these issues, we propose a framework (MSRE) of generating the multi-style recommendation explanation with the attention-guide walk model on affiliation relations and interaction relations in the heterogeneous information network. Inspired by the attention mechanism, we determine the important contexts for recommendation explanation and learn joint representation of multi-style user-item interactions for enhancing recommendation performance. Constructing extensive experiments on three real-world datasets verifies the effectiveness of our framework on both recommendation performance and recommendation explanation.

Published
2020

34. Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations

Author

Xin Wang, Ling Yunzhi, Yunhao Ling, and Ying Wang

Subjects
General Computer Science, Selection (relational algebra), Computer science, business.industry, General Engineering, Feature selection, Pattern recognition, Class (biology), Correlation, feature selection, Discriminative model, Norm (mathematics), Key (cryptography), Multi-label, General Materials Science, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, Electrical and Electronic Engineering, business, Set (psychology), label-specific features, lcsh:TK1-9971, label correlations
Abstract

In multi-label learning, instances can be associated with a set of class labels. The existing multi-label feature selection (MLFS) methods generally adopt either of these two strategies, namely, selecting a subset of features that is shared by all labels (common features) or exploring the most discriminative features for each label (label-specific features). However, both of them can play a key role in the discrimination of different labels. For example, common features can distinguish all labels, and label-specific features contribute to discriminating label's differences. They are important for the discriminability of selected features. On the other hand, it is well-known that exploiting label correlations can advance the performance of MLFS, and label correlations are local and only shared by a data subset in most cases. How to effectively learn and exploit local label correlations in the selection process is significant. In this paper, to address these problems, we propose a novel MLFS framework. Specially, common and label-specific features are simultaneously considered by introducing both $l_{2,1}$ -norm and $l_{1}$ -norm regularizers, local label correlations are automatically learned with probability and learned correlation information is efficiently exploited to help feature selection by constraining label correlations on the output of labels. A comparative study with seven state-of-the-art methods manifests the efficacy of our framework.

Published
2020

39. PD-L1 cellular nanovesicles carrying rapamycin inhibit alloimmune responses in transplantation

Author

Yang, Min, primary, Xu, Zhanxue, additional, Yan, Hailan, additional, Tsai, Hsiang-i, additional, Su, Dandan, additional, Yan, Fuxia, additional, Lu, Qiumei, additional, Feng, Jianhua, additional, Zeng, Weiwei, additional, Xi, Lifang, additional, Zha, Hualian, additional, Ling, Yunzhi, additional, He, Chao, additional, Wu, Yingyi, additional, Xu, Xiaowei, additional, Zheng, Gang, additional, Liu, Gan, additional, Chen, Hongbo, additional, and Cheng, Fang, additional

Published
2021
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41. Time domain synchronisation estimation algorithm for FBMC vector signal analysis in 5G system

Author

Zhang Yu, Ling Yunzhi, and Xu Lantian

Subjects
fbmc vector signal analysis, ofdm modulation, fbmc signal vector analysers, Computer science, Orthogonal frequency-division multiplexing, power synchronisation, synchronisation, Energy Engineering and Power Technology, filter bank multicarrier test applications, 02 engineering and technology, fifth-generation mobile communication network system, frequency domain, Signal, 5g test applications, 0202 electrical engineering, electronic engineering, information engineering, Frequency offset, Time domain, time domain synchronisation estimation algorithm, Signal processing, signal quality changes, mobile communication, General Engineering, low signal-to-noise ratio, 020206 networking & telecommunications, Filter bank, time-domain analysis, acoustic signal detection, Power (physics), audio coding, fbmc signal vector analysis, good synchronisation, lcsh:TA1-2040, Frequency domain, channel bank filters, lcsh:Engineering (General). Civil engineering (General), Algorithm, Software
Abstract

For the challenges of filter bank multi-carrier (FBMC) test applications in the fifth-generation mobile communication network (5G) system, presented is a time domain synchronisation estimation algorithm based on power synchronisation in frequency domain. Through MATLAB simulation, the proposed algorithm is verified to achieve good synchronisation at low signal-to-noise ratio (SNR) and large frequency offset without signal quality changes. As a result, it can be applied in FBMC signal vector analysers, promoting FBMC signal vector analysis functions used in 5G test applications.

Published
2019

42. miR-135a-5p and miR-124-3p Inhibit Malignancy of Glioblastoma by Downregulation of Syndecan Binding Protein

Author

Yang Zhang, Ling Yunzhi, Xu Zhang, Guoxuan Luo, Weishi Luo, Jinzhi Lin, Xia Wen, Yong Zhang, Ruoyu Peng, Xiaohui Sun, Mo Wang, and Minghua Zhu

Subjects
0301 basic medicine, Syntenins, Biomedical Engineering, Down-Regulation, Mice, Nude, Pharmaceutical Science, Medicine (miscellaneous), Bioengineering, Syndecan binding, Mice, 03 medical and health sciences, 0302 clinical medicine, Downregulation and upregulation, Western blot, Cell Movement, In vivo, Cell Line, Tumor, microRNA, medicine, Animals, Gene silencing, General Materials Science, U87, Cell Proliferation, Regulation of gene expression, medicine.diagnostic_test, Chemistry, Gene Expression Regulation, Neoplastic, MicroRNAs, 030104 developmental biology, 030220 oncology & carcinogenesis, Cancer research, Glioblastoma
Abstract

Due to its high invasiveness, glioblastoma is difficult to treat by surgery, radiotherapy, chemotherapy or any combination therapy. Syndecan binding protein (SDCBP), a widely distributed intracellular scaffold protein, has an important role in both physiological and pathological process. In the current work, we have identified target sequences for miR-135a-5p and miR-124-3p in the 3'-untranslated region of the SDCBP mRNA. Therefore, we have investigated the relationship between SDCBP, miR-135a-5p and miR-124-3p in glioblastoma multiforme cells T98G and U87 in vitro and in vivo. Dual luciferase activity assay documented that SDCBP is, in fact, the target of miR-135a-5p, miR-124-3. Western blot, qRT-PCR, proliferation, migration, and invasion assays have demonstrated that of silencing SDCBP or overexpressing miR-135a-5p/miR-124-3p significantly interferes with the malignant properties of glioblastoma cells. In vivo studies have shown that silencing SDCBP or overexpressing miR-135a-5p/miR-124-3p result in a marked decrease of tumor size and prolong life of tumor-bearing mice. A therapy combining the three treatments inhibits synergistically subcutaneous tumor growth in nude mice. In conclusion, proliferation, migration and invasion of glioblastoma can be inhibited by targeted regulation of SDCBP through upregulation of miR-135a-5p and miR-124-3p.

Published
2018

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