Zobrazeno 1 - 10
of 138
pro vyhledávání: '"P. S. Rodin"'
Autor:
Brian Orcutt-Jahns, Joao Rodrigues Lima Junior, Emily Lin, Russell C. Rockne, Adina Matache, Sergio Branciamore, Ethan Hung, Andrei S. Rodin, Peter P. Lee, Aaron S. Meyer
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Cytokines operate in concert to maintain immune homeostasis and coordinate immune responses. In cases of ER+ breast cancer, peripheral immune cells exhibit altered responses to several cytokines, and these alterations are correlated strongly
Externí odkaz:
https://doaj.org/article/7bb1eb36670d4de1a2242488effa7d1c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract While there are currently over 40 replicated genes with mapped risk alleles for Late Onset Alzheimer’s disease (LOAD), the Apolipoprotein E locus E4 haplotype is still the biggest driver of risk, with odds ratios for neuropathologically co
Externí odkaz:
https://doaj.org/article/25d08a92396343cc9614e67ed0f7a585
Proton- and Neutron-Induced SEU Cross-Section Modeling and Simulation: A Unified Analytical Approach
Autor:
Gennady I. Zebrev, Nikolay N. Samotaev, Rustem G. Useinov, Artur M. Galimov, Vladimir V. Emeliyanov, Artyom A. Sharapov, Dmitri A. Kazyakin, Alexander S. Rodin
Publikováno v:
Radiation, Vol 4, Iss 1, Pp 37-49 (2024)
A new physics-based compact model, which makes it possible to simulate in a unified way the neutrons and protons of cosmic ray-induced SEU cross-sections, including the effects from nuclear reaction products and from direct ionization by low-energy p
Externí odkaz:
https://doaj.org/article/9d0bfed7d313493dbcb23cb4dbe73ed5
Publikováno v:
Journal of Ophthalmology, Iss 5, Pp 71-80 (2022)
Background: Professional activities of individuals under stressful conditions affect their psychic processes and capability to work. The social-cognitive distortions developing under these conditions require a comprehensive assessment involving, part
Externí odkaz:
https://doaj.org/article/9b396c97390c48c6b93fac2ce58f6091
Autor:
Seth Hilliard, Karen Mosoyan, Sergio Branciamore, Grigoriy Gogoshin, Alvin Zhang, Diana L. Simons, Russell C. Rockne, Peter P. Lee, Andrei S. Rodin
Publikováno v:
iScience, Vol 26, Iss 2, Pp 106041- (2023)
Summary: Modern artificial neural networks (ANNs) have long been designed on foundations of mathematics as opposed to their original foundations of biomimicry. However, the structure and function of these modern ANNs are often analogous to real-life
Externí odkaz:
https://doaj.org/article/2cf310fe659c4d46ba3be3664c542f16
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 8603-8621 (2021)
Bayesian Network (BN) modeling is a prominent and increasingly popular computational systems biology method. It aims to construct network graphs from the large heterogeneous biological datasets that reflect the underlying biological relationships. Cu
Externí odkaz:
https://doaj.org/article/02b13fa56cb2452892c55bbe03f653a3
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/f6d6ae09f6464651aa332ea5a1c0e5f1
Publikováno v:
Тонкие химические технологии, Vol 15, Iss 1, Pp 37-45 (2020)
Objectives. The synthesis of high-viscosity oils is a fundamental aspect of oil refinement and contributes toward improvements in their production technologies. However, current methods of oil extraction are characterized by the inefficient use of en
Externí odkaz:
https://doaj.org/article/34be982287484fea919178bf5f17bb11
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
We propose a novel two-stage analysis strategy to discover candidate genes associated with the particular cancer outcomes in large multimodal genomic cancers databases, such as The Cancer Genome Atlas (TCGA). During the first stage, we use mixed mutu
Externí odkaz:
https://doaj.org/article/bd18d3711f9c47d391611dc98a9b158c
Autor:
M. P. Galanin, M. M. Gorbunov-Posadov, A. V. Ermakov, V. V. Lukin, A. S. Rodin, K. L. Shapovalov
Publikováno v:
Труды Института системного программирования РАН, Vol 26, Iss 3, Pp 51-68 (2018)
The software platform for mathematical modeling support Temetos is decribed. The Temetos platform is the integrated graphical tool environment for the study of mathematical models of physical processes and technical systems. Temetos platform provides
Externí odkaz:
https://doaj.org/article/1d32987b6a934a438e9cff911f6bb073