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QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIP OF THE THYMIDYLATE SYNTHASE INHIBITORS OF MUS MUSCULUS IN THE SERIES OF QUINAZOLIN-4-ONE AND QUINAZOLIN-4-IMINE DERIVATIVES
KHAIRULLINA, V.R., GERCHIKOV, A.Y., MUSTAFIN, A.G., GIMADIEVA, A.R., ZARUDII, F.S. (2018)
and QNAdescriptors using the self-consistent regression, 6 statistically significant consensus models
Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets
Nouwen, A., Deschenes, S.S., Balkhiyarova, Z., Albertorio-Diaz, J.R., Prokopenko, I., Schmitz, N. (2021)
performed, with increasingly stringent model constraints applied to assess configural, equal thresholds
SIMPLE MORTALITY PROGNOSTIC RISK CALCULATOR FOR PATIENTS WITH ACUTE CORONARY SYNDROME
Zagidullin, N., Travnikova, E., Zagidullin, B., Zulkarneev, R., Zagidullin, S. (2016)
(survivors) and group 2 (nonsurvivors). Firstly, the risk factor were evaluated using the binary model
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
Liu, H., Song, W., Niu, Y., Zio, E. (2021)
, the existing RUL prediction methods based on stochastic model cannot simultaneously consider the fractal
МОДЕЛИРОВАНИЕ В СИСТЕМЕ АДАПТАЦИИ И УПРАВЛЕНИЯ СПОРТИВНОЙ ПОДГОТОВКОЙ
MODELING IN THE SYSTEM OF ADAPTATION AND SPORT TRAINING MANAGEMENT
Исаев, А.П., Абзалилов, Р.Я., Рыбаков, В.В., Ненашева, А.В., Кораблева, Ю.Б., Isaev, A.P., Isaev, A.P., Abzalilov, R.Ya., Rybakov, V.V., Nenasheva, A.V., Korableva, Yu.B. (2016)
Aim is to design a modeling process for multifunctional adaptive phase phenomena in management
Assessment of Coronary Stents Strength with the Recreated Model of Myocardial Bridge
Plechev, V.V., Sagatdinov, T., Buzaev, I.V., Risberg, R., Arturovna, S.E. (2018)
in the reconstructed model of the myocardial bridge. Methods To find out the cause of stent breaking by the myocardial
СПОСОБ МОДЕЛИРОВАНИЯ РЕЦЕССИИ ДЕСНЫ
METHOD FOR MODELING GUM RECESSION
ХАЙБУЛЛИНА, Р.Р., ГЕРАСИМОВА, Л.П., ДАНИЛКО, К.В., ЛОПАТИНА, Н.В., KHAIBULLINA, R.R., GERASIMOVA, L.P., DANILKO, K.V., LOPATINA, N.V. (2023)
METHOD FOR MODELING GUM RECESSION
QSAR MODELLING OF THYMIDYLATE SYNTHASE INHIBITORS IN A SERIES OF QUINAZOLINE DERIVATIVES
KHAIRULLINA, V.R., GERCHIKOV, A.Y., LAGUNIN, A.A., ZARUDII, F.S. (2018)
range 0.52 – 24,800.00 nM. Statistically significant QSAR models were constructed using MNA- and QNA
3D-МОДЕЛИРОВАНИЕ И ПРЕДОПЕРАЦИОННОЕ ПЛАНИРОВАНИЕ ПРИ ОПРЕДЕЛЕНИИ ПОКАЗАНИЙ ДЛЯ ЛАПАРОСКОПИЧЕСКОЙ ЛАЗЕРНОЙ РЕЗЕКЦИИ ПОЧКИ БЕЗ ТЕПЛОВОЙ ИШЕМИИ
3D MODELING AND PREOPERATIVE PLANNING FOR INDICATIONS TO LAPAROSCOPIC LASER PARTIAL NEPHRECTOMY WITHOUT WARM ISCHEMIA
Дубровин, В.Н., Егошин, А.В., Роженцов, А.А., Хасанова, Г.М., Сахаров, В.И., Dubrovin, V.N., Egoshin, A.V., Rozhentsov, A.A., Khasanova, G.M., Sakharov, V.I. (2020)
3D MODELING AND PREOPERATIVE PLANNING FOR INDICATIONS TO LAPAROSCOPIC LASER PARTIAL NEPHRECTOMY
МОДЕЛИРОВАНИЕ ПРОЦЕССА ВЗАИМОДЕЙСТВИЯ ФАРМАЦЕВТИЧЕСКИХ СПЕЦИАЛИСТОВ С НАСЕЛЕНИЕМ
MODELING THE PROCESS OF INTERACTION OF PHARMACEUTICAL SPECIALISTS WITH POPULATION
А. Г. Хворостянова, A. G. Khvorostyanova, И. А. Филина, I. A. Filina (Медицинский вестник Башкортостана, №4, 2019)
MODELING THE PROCESS OF INTERACTION OF PHARMACEUTICAL SPECIALISTS WITH POPULATION

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