作者：Brodie, Jedediah F.; Mohd-Azlan, Jayasilan; Chen, Cheng; Wearn, Oliver R.; Deith, Mairin C. M.; Ball, James G. C.; Slade, Eleanor M.; Burslem, David F. R. P.; Teoh, Shu Woan; Williams, Peter J.; Nguyen, An; Moore, Jonathan H.; Goetz, Scott J.; Burns, Patrick; Jantz, Patrick; Hakkenberg, Christopher R.; Kaszta, Zaneta; Cushman, Sam; Coomes, David; Helmy, Olga E.; Reynolds, Glen; Rodriguez, Jon Paul; Jetz, Walter; Luskin, Matthew Scott
作者单位：University of Montana System; University of Montana; University of Montana System; University of Montana; University of Malaysia Sarawak; University of British Columbia; University of British Columbia; University of British Columbia; University of Cambridge; University of Cambridge; Nanyang Technological University; University of Aberdeen; Leibniz Institut fur Zoo und Wildtierforschung; Southern University of Science & Technology; University of East Anglia; Northern Arizona University; Northern Arizona University; University of Oxford; Northern Arizona University; Yale University; Yale University; University of Queensland
作者：Xie, Feng; Zhou, Xiaoxue; Ran, Yu; Li, Ran; Zou, Jing; Wan, Shiyun; Su, Peng; Meng, Xuli; Yan, Haiyan; Lu, Huasong; Ru, Heng; Hu, Hai; Mao, Zhengwei; Yang, Bing; Zhou, Fangfang; Zhang, Long
作者单位：Soochow University - China; Tianfu Jincheng Laboratory; Hangzhou City University; Zhejiang University; Zhejiang University; Hangzhou Medical College; Zhejiang Provincial People's Hospital; Chinese Academy of Sciences; Hangzhou Institute of Medicine, CAS; Zhejiang Cancer Hospital; Zhejiang University; Nanchang University
摘要：Identifying phase-separated structures remains challenging, and effective intervention methods are currently lacking1. Here we screened for phase-separated proteins in breast tumour cells and identified forkhead (FKH) box protein M1 (FOXM1) as the most prominent candidate. Oncogenic FOXM1 underwent liquid-liquid phase separation (LLPS) with FKH consensus DNA element, and compartmentalized the transcription apparatus in the nucleus, thereby sustaining chromatin accessibility and super-enhancer ...
作者：Aghaee, Morteza; Ramirez, Alejandro Alcaraz; Alam, Zulfi; Ali, Rizwan; Andrzejczuk, Mariusz; Antipov, Andrey; Astafev, Mikhail; Barzegar, Amin; Bauer, Bela; Becker, Jonathan; Bhaskar, Umesh Kumar; Bocharov, Alex; Boddapati, Srini; Bohn, David; Bommer, Jouri; Bourdet, Leo; Bousquet, Arnaud; Boutin, Samuel; Casparis, Lucas; Chapman, Benjamin J.; Chatoor, Sohail; Christensen, Anna Wulff; Chua, Cassandra; Codd, Patrick; Cole, William; Cooper, Paul; Corsetti, Fabiano; Cui, Ajuan; Dalpasso, Paolo; Dehollain, Juan Pablo; de Lange, Gijs; de Moor, Michiel; Ekefjard, Andreas; El Dandachi, Tareq; Saldana, Juan Carlos Estrada; Fallahi, Saeed; Galletti, Luca; Gardner, Geoff; Govender, Deshan; Griggio, Flavio; Grigoryan, Ruben; Grijalva, Sebastian; Gronin, Sergei; Gukelberger, Jan; Hamdast, Marzie; Hamze, Firas; Hansen, Esben Bork; Heedt, Sebastian; Heidarnia, Zahra; Zamorano, Jesus Herranz; Ho, Samantha; Holgaard, Laurens; Hornibrook, John; Indrapiromkul, Jinnapat; Ingerslev, Henrik; Ivancevic, Lovro; Jensen, Thomas; Jhoja, Jaspreet; Jones, Jeffrey; Kalashnikov, Konstantin V.; Kallaher, Ray; Kalra, Rachpon; Karimi, Farhad; Karzig, Torsten; King, Evelyn; Kloster, Maren Elisabeth; Knapp, Christina; Kocon, Dariusz; Koski, Jonne V.; Kostamo, Pasi; Kumar, Mahesh; Laeven, Tom; Larsen, Thorvald; Lee, Jason; Lee, Kyunghoon; Leum, Grant; Li, Kongyi; Lindemann, Tyler; Looij, Matthew; Love, Julie; Lucas, Marijn; Lutchyn, Roman; Madsen, Morten Hannibal; Madulid, Nash; Malmros, Albert; Manfra, Michael; Mantri, Devashish; Markussen, Signe Brynold; Martinez, Esteban; Mattila, Marco; McNeil, Robert; Mei, Antonio B.; Mishmash, Ryan V.; Mohandas, Gopakumar; Mollgaard, Christian; Morgan, Trevor; Moussa, George; Nayak, Chetan; Nielsen, Jens Hedegaard; Nielsen, Jens Munk; Nielsen, William Hvidtfelt Padkar; Nijholt, Bas; Nystrom, Mike; O'Farrell, Eoin; Ohki, Thomas; Otani, Keita; Wutz, Brian Paquelet; Pauka, Sebastian; Petersson, Karl; Petit, Luca; Pikulin, Dima; Prawiroatmodjo, Guen; Preiss, Frank; Morejon, Eduardo Puchol; Rajpalke, Mohana; Ranta, Craig; Rasmussen, Katrine; Razmadze, David; Reentila, Outi; Reilly, David J.; Ren, Yuan; Reneris, Ken; Rouse, Richard; Sadovskyy, Ivan; Sainiemi, Lauri; Sanlorenzo, Irene; Schmidgall, Emma; Sfiligoj, Cristina; Shah, Mustafeez Bashir; Simoes, Kevin; Singh, Shilpi; Sinha, Sarat; Soerensen, Thomas; Sohr, Patrick; Stankevic, Tomas; Stek, Lieuwe; Stuppard, Eric; Suominen, Henri; Suter, Judith; Teicher, Sam; Thiyagarajah, Nivetha; Tholapi, Raj; Thomas, Mason; Toomey, Emily; Tracy, Josh; Turley, Michelle; Upadhyay, Shivendra; Urban, Ivan; Van Hoogdalem, Kevin; Van Woerkom, David J.; Viazmitinov, Dmitrii V.; Vogel, Dominik; Watson, John; Webster, Alex; Weston, Joseph; Winkler, Georg W.; Xu, Di; Yang, Chung Kai; Yucelen, Emrah; Zeisel, Roland; Zheng, Guoji; Zilke, Justin
摘要：The fusion of non-Abelian anyons is a fundamental operation in measurement-only topological quantum computation(1). In one-dimensional topological superconductors (1DTSs)(2, 3-4), fusion amounts to a determination of the shared fermion parity of Majorana zero modes (MZMs). Here we introduce a device architecture(5) that is compatible with future tests of fusion rules. We implement a single-shot interferometric measurement of fermion parity(6, 7, 8, 9, 10-11) in indium arsenide-aluminium hetero...
作者：Xiang, Jinxi; Wang, Xiyue; Zhang, Xiaoming; Xi, Yinghua; Eweje, Feyisope; Chen, Yijiang; Li, Yuchen; Bergstrom, Colin; Gopaulchan, Matthew; Kim, Ted; Yu, Kun-Hsing; Willens, Sierra; Olguin, Francesca Maria; Nirschl, Jeffrey J.; Neal, Joel; Diehn, Maximilian; Yang, Sen; Li, Ruijiang
作者单位：Stanford University; Stanford University; Stanford University; Harvard University; Harvard Medical School
摘要：Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care1,2. However, the scarcity of well-annotated multimodal datasets in clinical settings has hindered the development of useful models. In this study, we developed the Multimodal transformer with Unified maSKed modeling (MUSK), a vision-language foundati...
