Zobrazeno 1 - 10
of 1 939
pro vyhledávání: '"Or Lazarescu"'
Autor:
Gil Sorek, Yulia Haim, Vered Chalifa-Caspi, Or Lazarescu, Maya Ziv-Agam, Tobias Hagemann, Pamela Arielle Nono Nankam, Matthias Blüher, Idit F. Liberty, Oleg Dukhno, Ivan Kukeev, Esti Yeger-Lotem, Assaf Rudich, Liron Levin
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110368- (2024)
Summary: Deconvolution algorithms mostly rely on single-cell RNA-sequencing (scRNA-seq) data applied onto bulk RNA-sequencing (bulk RNA-seq) to estimate tissues’ cell-type composition, with performance accuracy validated on deposited databases. Adi
Externí odkaz:
https://doaj.org/article/120ff37dd2ea4aedb2a1d37c407109f6
Finding a low-weight multiple (LWPM) of a given polynomial is very useful in the cryptanalysis of stream ciphers and arithmetic in finite fields. There is no known deterministic polynomial time complexity algorithm for solving this problem, and the m
Externí odkaz:
http://arxiv.org/abs/2410.10224
Autor:
Avanzini, Francesco, Bilancioni, Massimo, Cavina, Vasco, Cengio, Sara Dal, Esposito, Massimiliano, Falasco, Gianmaria, Forastiere, Danilo, Freitas, Nahuel, Garilli, Alberto, Harunari, Pedro E., Lecomte, Vivien, Lazarescu, Alexandre, Srinivas, Shesha G. Marehalli, Moslonka, Charles, Neri, Izaak, Penocchio, Emanuele, Piñeros, William D., Polettini, Matteo, Raghu, Adarsh, Raux, Paul, Sekimoto, Ken, Soret, Ariane
Publikováno v:
SciPost Phys. Lect. Notes 80 (2024)
Lecture notes after the doctoral school (Post)Modern Thermodynamics held at the University of Luxembourg, December 2022, 5-7, covering and advancing continuous-time Markov chains, network theory, stochastic thermodynamics, large deviations, determini
Externí odkaz:
http://arxiv.org/abs/2311.01250
A DSP shared is a DSP earned: HLS Task-Level Multi-Pumping for High-Performance Low-Resource Designs
High-level synthesis (HLS) enhances digital hardware design productivity through a high abstraction level. Even if the HLS abstraction prevents fine-grained manual register-transfer level (RTL) optimizations, it also enables automatable optimizations
Externí odkaz:
http://arxiv.org/abs/2310.00330
Residual neural networks are widely used in computer vision tasks. They enable the construction of deeper and more accurate models by mitigating the vanishing gradient problem. Their main innovation is the residual block which allows the output of on
Externí odkaz:
http://arxiv.org/abs/2309.15631
Autor:
Terenti, Natalia, Lazarescu, Ana, Shova, Sergiu, Bourosh, Paulina, Nedelko, Natalia, Ślawska-Waniewska, Anna, Zariciuc, E., Lozan, Vasile
Publikováno v:
In Inorganica Chimica Acta 1 October 2024 571
Autor:
Rogé, Maximilien *, Kirova, Youlia, Lévêque, Emilie, Guigo, Marin, Johnson, Alison, Nebbache, Rafik, Rivin Del Campo, Eleonor, Lazarescu, Ioana, Servagi, Stéphanie, Mervoyer, Augustin, Cailleteau, Axel, Thureau, Sébastien, Thariat, Juliette
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 October 2024 120(2):496-507
When analysing statistical systems or stochastic processes, it is often interesting to ask how they behave given that some observable takes some prescribed value. This conditioning problem is well understood within the linear operator formalism based
Externí odkaz:
http://arxiv.org/abs/2109.06830
Autor:
Sorek, Gil, Haim, Yulia, Chalifa-Caspi, Vered, Lazarescu, Or, Ziv-Agam, Maya, Hagemann, Tobias, Nono Nankam, Pamela Arielle, Blüher, Matthias, Liberty, Idit F., Dukhno, Oleg, Kukeev, Ivan, Yeger-Lotem, Esti, Rudich, Assaf, Levin, Liron
Publikováno v:
In iScience 19 July 2024 27(7)
Publikováno v:
In Body Image June 2024 49