Zobrazeno 1 - 10
of 88 801
pro vyhledávání: '"Amer AS"'
Autor:
Mithil K. Soni, Edoardo Migliori, Jianing Fu, Amer Assal, Hei Ton Chan, Jian Pan, Prabesh Khatiwada, Rodica Ciubotariu, Michael S. May, Marcus R. Pereira, Valeria De Giorgi, Megan Sykes, Markus Y. Mapara, Pawel J. Muranski
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
T cell immunity plays a central role in clinical outcomes of Coronavirus Infectious Disease 2019 (COVID-19) and T cell-focused vaccination or cellular immunotherapy might provide enhanced protection for some immunocompromised patients. Pre-existing T
Externí odkaz:
https://doaj.org/article/b84e8a9f34fd4aeaa32bea55f2fadcc0
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 147-166 (2023)
This paper proposed an approach for the identification of mutation mechanisms of breast cancer in women in four member countries of the Middle East Cancer Consortium i.e. Egypt, Jordan, Cyprus and Israel (Arabs and Jews). We set up multistage models
Externí odkaz:
https://doaj.org/article/e468e55ebb284ce18d55721404a74828
Autor:
Guru Subramanian Guru Murthy, Soyoung Kim, Noel Estrada-Merly, Muhammad Bilal Abid, Mahmoud Aljurf, Amer Assal, Talha Badar, Sherif M. Badawy, Karen Ballen, Amer Beitinjaneh, Jan Cerny, Saurabh Chhabra, Zachariah DeFilipp, Bhagirathbhai Dholaria, Miguel Angel Diaz Perez, Shatha Farhan, Cesar O. Freytes, Robert Peter Gale, Siddhartha Ganguly, Vikas Gupta, Michael R. Grunwald, Nada Hamad, Gerhard C. Hildebrandt, Yoshihiro Inamoto, Tania Jain, Omer Jamy, Mark Juckett, Matt Kalaycio, Maxwell M. Krem, Hillard M. Lazarus, Mark Litzow, Reinhold Munker, Hemant S. Murthy, Sunita Nathan, Taiga Nishihori, Guillermo Ortí, Sagar S. Patel, Marjolein van der Poel, David A. Rizzieri, Bipin N. Savani, Sachiko Seo, Melhem Solh, Leo F. Verdonck, Baldeep Wirk, Jean A. Yared, Ryotaro Nakamura, Betul Oran, Bart Scott, Wael Saber
Publikováno v:
Haematologica, Vol 108, Iss 7 (2023)
Allogeneic hematopoietic cell transplantation (allo-HCT) remains the only curative treatment for myelofibrosis. However, the optimal conditioning regimen either with reduced-intensity conditioning (RIC) or myeloablative conditioning (MAC) is not well
Externí odkaz:
https://doaj.org/article/3607fa3e9937487db3f85032af240a0d
We initiate the study of relativistic zero-knowledge quantum proof of knowledge systems with classical communication, formally defining a number of useful concepts and constructing appropriate knowledge extractors for all the existing protocols in th
Externí odkaz:
http://arxiv.org/abs/2409.03635
Autor:
Amer, Hossam, Abouelenin, Abdelrahman, Maher, Mohamed, Narouz, Evram, Afify, Mohamed, Awadallah, Hany
Nearest neighbor machine translation is a successful approach for fast domain adaption, which interpolates the pre-trained transformers with domain-specific token-level k-nearest-neighbor (kNN) retrieval without retraining. Despite kNN MT's success,
Externí odkaz:
http://arxiv.org/abs/2407.19965
Autor:
Aleksandr Lazaryan, Michelle Dolan, Mei-Jie Zhang, Hai-Lin Wang, Mohamed A. Kharfan-Dabaja, David I. Marks, Nelli Bejanyan, Edward Copelan, Navneet S. Majhail, Edmund K. Waller, Nelson Chao, Tim Prestidge, Taiga Nishihori, Partow Kebriaei, Yoshihiro Inamoto, Betty Hamilton, Shahrukh K. Hashmi, Rammurti T. Kamble, Ulrike Bacher, Gerhard C. Hildebrandt, Patrick J. Stiff, Joseph McGuirk, Ibrahim Aldoss, Amer M. Beitinjaneh, Lori Muffly, Ravi Vij, Richard F. Olsson, Michael Byrne, Kirk R. Schultz, Mahmoud Aljurf, Matthew Seftel, Mary Lynn Savoie, Bipin N. Savani, Leo F. Verdonck, Mitchell S. Cairo, Nasheed Hossain, Vijaya Raj Bhatt, Haydar A. Frangoul, Hisham Abdel-Azim, Monzr Al Malki, Reinhold Munker, David Rizzieri, Nandita Khera, Ryotaro Nakamura, Olle Ringdén, Marjolein van der Poel, Hemant S. Murthy, Hongtao Liu, Shahram Mori, Satiro De Oliveira, Javier Bolaños-Meade, Mahmoud Elsawy, Pere Barba, Sunita Nathan, Biju George, Attaphol Pawarode, Michael Grunwald, Vaibhav Agrawal, Youjin Wang, Amer Assal, Paul Castillo Caro, Yachiyo Kuwatsuka, Sachiko Seo, Celalettin Ustun, Ioannis Politikos, Hillard M. Lazarus, Wael Saber, Brenda M. Sandmaier, Marcos De Lima, Mark Litzow, Veronika Bachanova, Daniel Weisdorf
Publikováno v:
Haematologica, Vol 106, Iss 8 (2021)
Externí odkaz:
https://doaj.org/article/5f4f65fecf5144b8af57be068ff20e60
The multi-depot vehicle scheduling problem (MDVSP) is a critical planning challenge for transit agencies. We introduce a novel approach to MDVSP by incorporating service reliability through chance-constrained programming (CCP), targeting the pivotal
Externí odkaz:
http://arxiv.org/abs/2407.00836
Autor:
Chua, Lynn, Ghazi, Badih, Huang, Yangsibo, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sinha, Amer, Xie, Chulin, Zhang, Chiyuan
Large language models (LLMs) are typically multilingual due to pretraining on diverse multilingual corpora. But can these models relate corresponding concepts across languages, effectively being crosslingual? This study evaluates six state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2406.16135
Autor:
Hui, Peifeng, Cui, Chenggang, Lin, Pengfeng, Ghias, Amer M. Y. M., Niu, Xitong, Zhang, Chuanlin
Considering the growing necessity for precise modeling of power electronics amidst operational and environmental uncertainties, this paper introduces an innovative methodology that ingeniously combines model-driven and data-driven approaches to enhan
Externí odkaz:
http://arxiv.org/abs/2406.15787
Autor:
Chua, Lynn, Ghazi, Badih, Huang, Yangsibo, Kamath, Pritish, Kumar, Ravi, Liu, Daogao, Manurangsi, Pasin, Sinha, Amer, Zhang, Chiyuan
Large language models (LLMs) have emerged as powerful tools for tackling complex tasks across diverse domains, but they also raise privacy concerns when fine-tuned on sensitive data due to potential memorization. While differential privacy (DP) offer
Externí odkaz:
http://arxiv.org/abs/2406.14322