Zobrazeno 1 - 10
of 45 998
pro vyhledávání: '"Gai A"'
Autor:
Robert Brendza, Xiaoying Gao, Kimberly L. Stark, Han Lin, Seung-Hye Lee, Changyun Hu, Hao Cai, Danielle DiCara, Yi-Chun Hsiao, Hai Ngu, Oded Foreman, Miriam Baca, Monika Dohse, Jean-Phillipe Fortin, Racquel Corpuz, Dhaya Seshasayee, Amy Easton, Gai Ayalon, Isidro Hötzel, Ben Chih
Publikováno v:
Neurobiology of Disease, Vol 177, Iss , Pp 105969- (2023)
Parkinson's disease (PD), a neurodegenerative disease affecting dopaminergic (DA) neurons, is characterized by decline of motor function and cognition. Dopaminergic cell loss is associated with accumulation of toxic alpha synuclein aggregates. As DA
Externí odkaz:
https://doaj.org/article/f3994bb352724f55b0845dad814ba7b9
Autor:
Megan A. Iida, Kurt Farrell, Jamie M. Walker, Timothy E. Richardson, Gabriel A. Marx, Clare H. Bryce, Dushyant Purohit, Gai Ayalon, Thomas G. Beach, Eileen H. Bigio, Etty P. Cortes, Marla Gearing, Vahram Haroutunian, Corey T. McMillan, Edward B. Lee, Dennis W. Dickson, Ann C. McKee, Thor D. Stein, John Q. Trojanowski, Randall L. Woltjer, Gabor G. Kovacs, Julia K. Kofler, Jeffrey Kaye, Charles L. White, John F. Crary
Publikováno v:
Acta Neuropathologica Communications, Vol 9, Iss 1, Pp 1-12 (2021)
Abstract Primary age-related tauopathy (PART) is a form of Alzheimer-type neurofibrillary degeneration occurring in the absence of amyloid-beta (Aβ) plaques. While PART shares some features with Alzheimer disease (AD), such as progressive accumulati
Externí odkaz:
https://doaj.org/article/34a4f4e1641746a88e977b7cf3b9dcc5
In this work, we present a new approach to constrain the cosmological parameters and estimate Hubble constant. We reconstructed a function from observational Hubble data using an Artificial Neural Network (ANN). The training data we used are covarian
Externí odkaz:
http://arxiv.org/abs/2410.08369
For decades, video compression technology has been a prominent research area. Traditional hybrid video compression framework and end-to-end frameworks continue to explore various intra- and inter-frame reference and prediction strategies based on dis
Externí odkaz:
http://arxiv.org/abs/2410.01654
Standard multi-agent reinforcement learning (MARL) algorithms are vulnerable to sim-to-real gaps. To address this, distributionally robust Markov games (RMGs) have been proposed to enhance robustness in MARL by optimizing the worst-case performance w
Externí odkaz:
http://arxiv.org/abs/2409.20067
Role-playing is an emerging application in the field of Human-Computer Interaction (HCI), primarily implemented through the alignment training of a large language model (LLM) with assigned characters. Despite significant progress, role-playing agents
Externí odkaz:
http://arxiv.org/abs/2409.14710
Autor:
Su, Shuo, Chen, Xiaoshuang, Wang, Yao, Wu, Yulin, Zhang, Ziqiang, Zhan, Kaiqiao, Wang, Ben, Gai, Kun
Modern recommender systems are built upon computation-intensive infrastructure, and it is challenging to perform real-time computation for each request, especially in peak periods, due to the limited computational resources. Recommending by user-wise
Externí odkaz:
http://arxiv.org/abs/2409.13175
Current text-video retrieval methods mainly rely on cross-modal matching between queries and videos to calculate their similarity scores, which are then sorted to obtain retrieval results. This method considers the matching between each candidate vid
Externí odkaz:
http://arxiv.org/abs/2408.11432
Autor:
Kong, Dejia, Karbasizadeh, Siavash, Narasimha, Ganesh, Regmi, Paras, Tao, Chenggang, Mu, Sai, Vasudevan, Rama, Harrison, Ian, Jin, Rongying, Gai, Zheng
EuM2As2 (M = Zn, Cd, In, Sn etc.) is an excellent material system for studying topological properties, which can be easily tuned by magnetism involved. Theoretical calculations predict gapped and flat bands in EuZn2As2 but gapless structure in EuCd2A
Externí odkaz:
http://arxiv.org/abs/2408.08858
Knowledge-based visual question answering requires external knowledge beyond visible content to answer the question correctly. One limitation of existing methods is that they focus more on modeling the inter-modal and intra-modal correlations, which
Externí odkaz:
http://arxiv.org/abs/2408.07989