Zobrazeno 1 - 10
of 13 459
pro vyhledávání: '"Eldar A"'
Publikováno v:
Macromol, Vol 3, Iss 3, Pp 477-506 (2023)
This review considers the recent investigations in the scope of biodegradability of synthetic polymers, spanning polyethylene (PE), polypropylene (PP), and their corresponding composites, with a focus on the influence of oxo-additives (mostly transit
Externí odkaz:
https://doaj.org/article/72bc0a2392794306a7e04ee64df3c3c3
Autor:
Maria N. Starodubtseva, Nastassia M. Shkliarava, Irina A. Chelnokova, María I. Villalba, Andrei Yu. Krylov, Eldar A. Nadyrov, Sandor Kasas
Publikováno v:
Cells, Vol 12, Iss 19, p 2362 (2023)
Cells of two molecular genetic types of breast cancer—hormone-dependent breast cancer (ZR-75 cell line) and triple-negative breast cancer (BT-20 cell line)—were studied using atomic force microscopy and an optical nanomotion detection method. Usi
Externí odkaz:
https://doaj.org/article/781cc8d588b24683a4ef449d0c25b203
Autor:
Andrei Rajkovic, Sandesh Kanchugal, Eldar Abdurakhmanov, Rebecca Howard, Sebastian Wärmländer, Joseph Erwin, Hugo A Barrera Saldaña, Astrid Gräslund, Helena Danielson, Samuel Coulbourn Flores
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282741 (2023)
The interaction between human Growth Hormone (hGH) and hGH Receptor (hGHR) has basic relevance to cancer and growth disorders, and hGH is the scaffold for Pegvisomant, an anti-acromegaly therapeutic. For the latter reason, hGH has been extensively en
Externí odkaz:
https://doaj.org/article/eab598788a8244cb8440ab700095f932
Autor:
Oleg N. Yamshchikov, Sergey A. Emelyanov, Sergey A. Mordovin, Anton N. Petrukhin, Ekaterina A. Kolobova, Eldar A. Greznev, Roman S. Manyakhin
Publikováno v:
Вестник восстановительной медицины, Vol 20, Iss 6, Pp 76-83 (2021)
The literature review summarizes the scientific information devoted to the study of auxiliary methods used in restorative treatment after surgery for fractures of the femoral neck. The restoration of motor functions in patients with cervical hip frac
Externí odkaz:
https://doaj.org/article/73ec6ba62c694db7be6ac1610b82a2ef
The high computational costs of large language models (LLMs) have led to a flurry of research on LLM compression, via methods such as quantization, sparsification, or structured pruning. A new frontier in this area is given by \emph{dynamic, non-unif
Externí odkaz:
http://arxiv.org/abs/2410.14649
Autor:
Shlezinger, Nir, Revach, Guy, Ghosh, Anubhab, Chatterjee, Saikat, Tang, Shuo, Imbiriba, Tales, Dunik, Jindrich, Straka, Ondrej, Closas, Pau, Eldar, Yonina C.
The Kalman filter (KF) and its variants are among the most celebrated algorithms in signal processing. These methods are used for state estimation of dynamic systems by relying on mathematical representations in the form of simple state-space (SS) mo
Externí odkaz:
http://arxiv.org/abs/2410.12289
Autor:
Ni, Wanli, Wang, Wen, Zheng, Ailing, Wang, Peng, You, Changsheng, Eldar, Yonina C., Niyato, Dusit, Schober, Robert
In this article, we propose new network architectures that integrate multi-functional reconfigurable intelligent surfaces (MF-RISs) into 6G networks to enhance both communication and sensing capabilities. Firstly, we elaborate how to leverage MF-RISs
Externí odkaz:
http://arxiv.org/abs/2410.06584
Autor:
Sultanow, Eldar, Selimllari, Fation, Dutta, Siddhant, Reese, Barry D., Tehrani, Madjid, Buchanan, William J
Data poisoning attacks on machine learning models aim to manipulate the data used for model training such that the trained model behaves in the attacker's favor. In classical models such as deep neural networks, large chains of dot products do indeed
Externí odkaz:
http://arxiv.org/abs/2410.05145
Autor:
Knar, Eldar
In addition to the technology readiness level (TRL the scientific readiness level (SRL) has been introduced as a more authentic and adequate tool for determining the status quo of scientific and scientific-technical projects of fundamental or applied
Externí odkaz:
http://arxiv.org/abs/2410.09073
Much of Bayesian inference centers around the design of estimators for inverse problems which are optimal assuming the data comes from a known prior. But what do these optimality guarantees mean if the prior is unknown? In recent years, algorithm unr
Externí odkaz:
http://arxiv.org/abs/2409.12947