Rafikova, G.,
Piatnitskaia, S.,
Shapovalova, E.,
Chugunov, S.,
Kireev, V.,
Ialiukhova, D.,
Bilyalov, A.,
Pavlov, V.,
Kzhyshkowska, J. (2023)
with the immune system using advanced quantitative technologies. We discussed the
approaches
for ceramic implant
plant growth by mitigating stress-caused damage, possibly providing a baseline and eco-friendly
approach ab initio
approach. DNVMs can also be used to train new, more accurate machine learning potentials
ОБЕСПЕЧЕНИЕ НАСЕЛЕНИЯ ХИРУРГИЧЕСКОЙ ПОМОЩЬЮ В УСЛОВИЯХ ПАНДЕМИИ COVID-19Timerbulatov, M.V.,
Aitova, L.R.,
Grishina, E.E.,
Vizgalova, A.E.,
Ziganshin, T.M.,
Garifullin, A.A.,
Kazakov, N.M.,
Тимербулатов, М.В.,
Аитова, Л.Р.,
Гришина, Е.Е.,
Визгалова, А.Е.,
Зиганшин, Т.М.,
Гарифуллин, А.А.,
Казаков, Н.М. (2020) the continuity of the surgical care
process, the most important task in this
case is to prevent nosocomial
ВЛИЯНИЕ ПОЛИМОРФИЗМА ГЕНА G1082AIL-10 НА ТЕЧЕНИЕ ОСТРЫХ КИШЕЧНЫХ ИНФЕКЦИЙ). Genomic DNA was analyzed. Statistical data
pro-cessing was carried out using electronic programs Microsoft