Low Ge Content Ultra-Thin Fin Width (5nm) Monocrystalline SiGe n-Type FinFET With Low Off State Leakage and High ION/IOFF Ratio

Autor: Chong-Jhe Sun, Meng-Ju Tsai, Siao-Cheng Yan, Tzu-Ming Chu, Chieng-Chung Hsu, Chun-Lin Chu, Guang-Li Luo, Yung-Chun Wu

Publikováno v: IEEE Journal of the Electron Devices Society, Vol 8, Pp 1016-1020 (2020)

We successfully fabricate the Si0.8Ge0.2 channel fin field-effect-transistor (FinFET) with 5 nm ultra-thin fin width and high aspect ratio (~10×) on silicon-on-insulator (SOI) substrate by simple two-step dry etching. In comparison of the convention

Externí odkaz: https://doaj.org/article/816ae23d20c941b8b184586460b00d2c

Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

Autor: Justin Guinney, Tao Wang, Teemu D Laajala, Kimberly Kanigel Winner, J Christopher Bare, Elias Chaibub Neto, Suleiman A Khan, Gopal Peddinti, Antti Airola, Tapio Pahikkala, Tuomas Mirtti, Thomas Yu, Brian M Bot, Liji Shen, Kald Abdallah, Thea Norman, Stephen Friend, Gustavo Stolovitzky, Howard Soule, Christopher J Sweeney, Charles J Ryan, Howard I Scher, Oliver Sartor, Yang Xie, Tero Aittokallio, Fang Liz Zhou, James C Costello, Catalina Anghe, Helia Azima, Robert Baertsch, Pedro J Ballester, Chris Bare, Vinayak Bhandari, Cuong C Dang, Maria Bekker-Nielsen Dunbar, Ann-Sophie Buchardt, Ljubomir Buturovic, Da Cao, Prabhakar Chalise, Junwoo Cho, Tzu-Ming Chu, R Yates Coley, Sailesh Conjeti, Sara Correia, Ziwei Dai, Junqiang Dai, Philip Dargatz, Sam Delavarkhan, Detian Deng, Ankur Dhanik, Yu Du, Aparna Elangovan, Shellie Ellis, Laura L Elo, Shadrielle M Espiritu, Fan Fan, Ashkan B Farshi, Ana Freitas, Brooke Fridley, Christiane Fuchs, Eyal Gofer, Gopalacharyulu Peddinti, Stefan Graw, Russ Greiner, Yuanfang Guan, Jing Guo, Pankaj Gupta, Anna I Guyer, Jiawei Han, Niels R Hansen, Billy HW Chang, Outi Hirvonen, Barbara Huang, Chao Huang, Jinseub Hwang, Joseph G Ibrahim, Vivek Jayaswa, Jouhyun Jeon, Zhicheng Ji, Deekshith Juvvadi, Sirkku Jyrkkiö, Kimberly Kanigel-Winner, Amin Katouzian, Marat D Kazanov, Shahin Khayyer, Dalho Kim, Agnieszka K Golinska, Devin Koestler, Fernanda Kokowicz, Ivan Kondofersky, Norbert Krautenbacher, Damjan Krstajic, Luke Kumar, Christoph Kurz, Matthew Kyan, Michael Laimighofer, Eunjee Lee, Wojciech Lesinski, Miaozhu Li, Ye Li, Qiuyu Lian, Xiaotao Liang, Minseong Lim, Henry Lin, Xihui Lin, Jing Lu, Mehrad Mahmoudian, Roozbeh Manshaei, Richard Meier, Dejan Miljkovic, Krzysztof Mnich, Nassir Navab, Elias C Neto, Yulia Newton, Subhabrata Pal, Byeongju Park, Jaykumar Patel, Swetabh Pathak, Alejandrina Pattin, Donna P Ankerst, Jian Peng, Anne H Petersen, Robin Philip, Stephen R Piccolo, Sebastian Pölsterl, Aneta Polewko-Klim, Karthik Rao, Xiang Ren, Miguel Rocha, Witold R. Rudnicki, Hyunnam Ryu, Hagen Scherb, Raghav Sehgal, Fatemeh Seyednasrollah, Jingbo Shang, Bin Shao, Howard Sher, Motoki Shiga, Artem Sokolov, Julia F Söllner, Lei Song, Josh Stuart, Ren Sun, Nazanin Tahmasebi, Kar-Tong Tan, Lisbeth Tomaziu, Joseph Usset, Yeeleng S Vang, Roberto Vega, Vitor Vieira, David Wang, Difei Wang, Junmei Wang, Lichao Wang, Sheng Wang, Yue Wang, Russ Wolfinger, Chris Wong, Zhenke Wu, Jinfeng Xiao, Xiaohui Xie, Doris Xin, Hojin Yang, Nancy Yu, Xiang Yu, Sulmaz Zahedi, Massimiliano Zanin, Chihao Zhang, Jingwen Zhang, Shihua Zhang, Yanchun Zhang, Hongtu Zhu, Shanfeng Zhu, Yuxin Zhu

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Lancet Oncol. 18, 132-142 (2017)
Guinney, J, Wang, T, Laajala, T D, Winner, K K, Bare, J C, Neto, E C, Khan, S A, Peddinti, G, Airola, A, Pahikkala, T, Mirtti, T, Yu, T, Bot, B M, Shen, L, Abdallah, K, Norman, T, Friend, S, Stolovitzky, G, Soule, H, Sweeney, C J, Ryan, C J, Scher, H I, Sartor, O, Xie, Y, Aittokallio, T, Zhou, F L, Costello, J C & Prostate Cancer Challenge DREAM Community 2017, ' Prediction of overall survival for patients with metastatic castration-resistant prostate cancer : development of a prognostic model through a crowdsourced challenge with open clinical trial data ', The Lancet: Oncology, vol. 18, no. 1, pp. 132-142 . https://doi.org/10.1016/S1470-2045(16)30560-5

Background: Improvements to prognostic models in metastatic castration-resistant prostate cancer have the potential to augment clinical trial design and guide treatment strategies. In partnership with Project Data Sphere, a not-for-profit initiative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e29c71ca03dc8018abacbcb6b41b185
https://doi.org/10.1016/s1470-2045(16)30560-5

Multilevel resistive switching behaviors of N2-plasma-treated stacked GdO x /SiN x RRAMs

Autor: Ya-Ting Chan, Jer-Chyi Wang, Chyuan-Haur Kao, Tzu-Ming Chu, Yi Fu

Publikováno v: Japanese Journal of Applied Physics. 58:SBBB13

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa06a8145af2ec5a88343f8594736605
https://doi.org/10.7567/1347-4065/ab03c7

Comparison of Microarrays and RNA-Seq for Gene Expression Analyses of Dose-Response Experiments

Autor: Tzu-Ming Chu, Russell D. Wolfinger, Michael B. Black, Russell S. Thomas, Bruce C. Allen, Bethany Parks, Linda J. Pluta

Publikováno v: Toxicological Sciences. 137:385-403

Relative to microarrays, RNA-seq has been reported to offer higher precision estimates of transcript abundance, a greater dynamic range, and detection of novel transcripts. However, previous comparisons of the 2 technologies have not covered dose-res

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327ed130c9ed61c48783a67a89faf437
https://doi.org/10.1093/toxsci/kft249

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Autor: Zhichao Liu, Shujian Wu, Reena Philip, Roderick V. Jensen, Xiao Zeng, Frank W. Samuelson, Wendy Czika, Gene Pennello, Fathi Elloumi, Frank Westermann, Matthew N. McCall, James C. Fuscoe, Yichao Wu, Mauro Delorenzi, Bart Barlogie, Nina Gonzaludo, Li Li, Joel S. Parker, Rong Chen, Zivana Tezak, Jianping Wu, Rafael A. Irizarry, Xijin Ge, Andreas Scherer, Xuejun Peng, Joshua Xu, Stephanie Fulmer-Smentek, Feng Qian, Giuseppe Jurman, Xuegong Zhang, Huixiao Hong, Richard A. Moffitt, Zhen Li, Yiming Zhou, Roberto Visintainer, Dilafruz Juraeva, Damir Herman, Joaquín Dopazo, Federico Goodsaid, Zhenqiang Su, Weiwei Shi, Chang Chang, Aaron Smalter, Mark R. Fielden, Alan H. Roter, Yvonne Kahlert, Junwei Wang, Shao Li, Pierre R. Bushel, Jianying Li, Yiyu Cheng, Matthias Kohl, David Montaner, Darlene R. Goldstein, Qian Xie, Raj K. Puri, Chen Zhao, Richard J. Brennan, Li Zheng, Menglong Li, Anne Bergstrom Lucas, Jun Huan, Zhiguang Li, Jing Han, Brandon D. Gallas, Guozhen Liu, Matthew Woods, Kevin C. Dorff, Danielle Thierry-Mieg, Xiaohui Fan, Wenjun Bao, Lakshmi Vishnuvajjala, Qinglan Sun, George Mulligan, Pan Du, Sadik A. Khuder, Christos Sotiriou, Xutao Deng, John Zhang, Jie Cheng, Charles Wang, Marina Tsyganova, Leming Shi, Sue Jane Wang, Kenneth R. Hess, Nianqing Xiao, Jennifer G. Catalano, Russell S. Thomas, Rong Tang, Frank Staedtler, Wen Luo, David J. Dix, Benedikt Brors, Juergen Von Frese, W. Fraser Symmans, Yang Feng, Lu Meng, Samantha Riccadonna, Gregory Campbell, Charles D. Johnson, John H. Phan, Johan Trygg, Ron L. Peterson, Sheng Zhu, Jie Liu, May D. Wang, Dhivya Arasappan, John D. Shaughnessy, R. Mitchell Parry, Tatiana Nikolskaya, Youping Deng, Stephen C. Harris, Tieliu Shi, Manuel Madera, Jeff W. Chou, Grier P. Page, Baitang Ning, Jian Cui, Liang Zhang, Eric Wang, Russell D. Wolfinger, Venkata Thodima, J. Luo, Min Zhang, Timothy Davison, Sheng Zhong, Guido Steiner, Pei Yi Tan, Yi Ren, Frank Berthold, Padraic Neville, Viswanath Devanarayan, Yaron Turpaz, Ying Liu, Uwe Scherf, Jialu Zhang, Lei Xu, Jennifer Fostel, Shengzhu Si, Christophe G. Lambert, Jianqing Fan, Yanen Li, Rui Jiang, Cesare Furlanello, Zhining Wen, Jianping Huang, Lajos Pusztai, Li Lee, Mat Soukup, Brett T. Thorn, Joseph D. Shambaugh, Hong Fang, S. Vega, Andreas Buness, Todd H. Stokes, Christos Hatzis, Waleed A. Yousef, Lun Yang, Francesca Demichelis, Nathan D. Price, Donald N. Halbert, Qiang Shi, Ignacio Medina, Martin Schumacher, Stephen J. Walker, Wendell D. Jones, Fabien Campagne, Li Guo, James C. Willey, Joseph Meehan, Weigong Ge, Hans Bitter, Max Bylesjö, Jing Cheng, Matthias Fischer, Richard S. Paules, Piali Mukherjee, Jean Thierry-Mieg, Laurent Gatto, Shicai Fan, Roland Eils, Tzu Ming Chu, Yuri Nikolsky, Brian Quanz, André Oberthuer, Simon Lin, Francisco Martinez-Murillo, Damir Dosymbekov, Jaeyun Sung, Minjun Chen, Richard Shippy, Samir Lababidi, Edward K. Lobenhofer, Vlad Popovici, Weida Tong, Quan Zhen Li, Dalila B. Megherbi, Roger Perkins, Wei Wang, K. Miclaus, Richard S. Judson, Weijie Chen

Publikováno v: Nature Biotechnology. 28:827-838

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6806d05f1d68b258ce11317a2537a21f
https://doi.org/10.1038/nbt.1665