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LEFT VENTRICULAR EJECTION FRACTION AS AN INDEPENDENT PREDICTOR OF POOR OUTCOME IN ACUTE INTRACEREBRAL HEMORRHAGE
YANG, G., SUN, J., ZHANG, D., ZHANG, R., ZHONG, Y., WANG, X., CHEN, X., LIU, B., LI, L., ZHAO, S., WANG, L., YUAN, C., LONG, M., JIANG, H., LI, C., ZHOU, Q., LIAN, A., GAREEV, I. (2020)
were investigated using univariable and multivariable logistic regression models. Results: Depressed
Fractional Levy stable motion: Finite difference iterative forecasting model
Liu, H., Song, W., Li, M., Kudreyko, A., Zio, E. (2020)
forecasting model with Long Range Dependent (LRD) characteristics. The LRD forecasting model considers
Reliability analysis of power distribution network based on Pso-DBN
Shan, H., Sun, Y., Zhang, W., Kudreyko, A., Ren, L. (2020)
the characteristics of large-scale parallel processing and self-learning, a deep belief network (DBN) simulation model
Mechanical Response of Carbon Nanotube Bundle to Lateral Compression
Abdullina, D.U., Korznikova, E.A., Dubinko, V.I., Laptev, D.V., Kudreyko, A.A., Soboleva, E.G., Dmitriev, S.V., Zhou, K. (2020)
biaxial compression is investigated in plane strain conditions using the chain model. In this model
Structure and Conformational Analysis of 5-Methyl-2,2-diphenyl-1,3-dioxane
Kuramshina, A.E., Khalikov, R.A., Kataev, V.A., Tyumkina, T.V., Meshcheryakova, E.S., Khalilov, L.M., Kuznetsov, V.V. (2020)
cluster model
STRUCTURE AND CONFORMATIONAL ANALYSIS OF 5,5-BIS(BROMOMETHYL)-2,2-DIPHENYL-1,3-DIOXANE
KHAZHIEV, S.Y., KHUSAINOV, M.A., KUZNETSOV, V.V., KHALIKOV, R.A., KATAEV, V.A., TYUMKINA, T.V., MESHCHERYAKOVA, E.S., KHALILOV, L.M. (2020)
, and the potential barrier to interconversion in different solvents was estimated by the cluster model
Многофакторная прогностическая модель у пациентов с инфарктом миокарда в отдаленном периоде на основе современных биомаркеров
MULTIFACTOR PREDICTIVE MODEL IN PATIENTS WITH MYOCARDIAL INFARCTION BASED ON MODERN BIOMARKERS
Khamitova, A.F., Lakman, I.A., Akhmetvaleev, R.R., Tulbaev, E.L., Gareeva, D.F., Zagidullin, Sh.Z, Zagidullin, NS, Хамитова А. Ф., Лакман И. А., Ахметвалеев Р. Р., Тулбаев Э. Л., Гареева Д. Ф., Загидуллин Ш. З.,, Загидуллин Н. Ш. (2020)
infarction (MI) by constructing a multifactorial model for prediction of cardiovascular complications (CVC
Identification of Pathological Formations in the Lungs Based on Machine Learning Methods
Shakhmametova, G.R., Vakkazov, N.O., Zulkarneev, R.KH. (2020)
is proposed and a model for finding pathological formations based on machine learning methods is developed
СТРОЕНИЕ И КОНФОРМАЦИОННЫЙ АНАЛИЗ 5,5-БИС(БРОММЕТИЛ)-2,2-ДИФЕНИЛ- 1,3-ДИОКСАНА
STRUCTURE AND CONFORMATIONAL ANALYSIS OF 5,5-BIS(BROMOMETHYL)-2,2-DIPHENYL-1,3-DIOXANE
Хажиев, Ш.Ю., Хусаинов, М.А., Халиков, Р.А., Катаев, В.А., Тюмкина, Т.В., Мещерякова, Е.С., Халилов, Л.М., Кузнецов, В.В., KHAZHIEV S.Y., KHUSAINOV M.A., KUZNETSOV V.V., KHALIKOV R.A., KATAEV V.A., TYUMKINA T.V., MESHCHERYAKOVA E.S., KHALILOV L.M. (2020)
CLUSTER MODEL
ТЕХНОЛОГИЯ ОЦЕНКИ ОБЪЕМА ПОСЛЕРОДОВОЙ КРОВОПОТЕРИ
TECHNOLOGY FOR QUANTIFYING THE POSTPARTUM BLOOD LOSS
ЗИГАНШИН, А.М., МУДРОВ, В.А., ZIGANSHIN A.M., MUDROV V.A. (2020)
3D MODELING

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