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21篇 您的检索式:作者名="Orekhova"
    题名 作者 年代 出处 被引量
1Membrane-catalyst systems for selectivity improvement in dehydrogenation and hydrogenation reactions 显示文摘Gryaznov V M Ermilova M M Orekhova N V 2001Catalysis Today2001,67,:1
2IL-4 promotes the migration of circulating B cells to the spleen and increases splenic B cell survival 显示文摘Mori M Morris SC Orekhova T 2000J Immunol2000,164,:1
3Efficacy of dynamic magnetic therapy in the complex treatment of cognitive disturbances in patients with chronic cerebrovascular insufficiency显示文摘Orekhova EM Svistunov AA Konchugova TV 2009Zh Nevrol Psikhiatr Im S S Korsakova2009,109,2:1
4Membrane-catalyst systems for selectivity improvement in dehydrogenation and hydrogenation reactions显示文摘Gryaznov V M Ermilova M M Orekhova N V 2001Catalysis Today2001,67,123:1
5Stat-6reuglation of in vivo IL-4responses显示文摘Finkelman FD Morris SC orekhova T 2000J Immunol2000,164,5:1
6Electricalconduc- tance studies in aqueous solutions with ascor-bate ions 显示文摘Apelblat A Manzurola E Orekhova Z 2006J Solution Chem2006,35,:1
7Local pre- vention of thrombosis in animal arteries by means of magnetic targeting of aspirin-loaded red cells 显示文摘Orekhova N M Akchurin R S Belyaev A A 1990Thrombosis Re- search1990,57,4:1
8Lasing and refractive indices of nanocrystalline ceramics of cubic Yttrium Oxide Y2O3 doped with Nd3+ and Yb3+ ions显示文摘A. A. Kaminskii K. Ueda A. F. Konstantinova H. Yagi T. Yanagitani A. V. Butashin V. P. Orekhova J. Lu K. Takaichi T. Uematsu M. Musha A. Shirokava 2003Crystallography Reports2003,,6:1
9IL-4 promotes the migration of circulating B cells to the spleen and increases splenic B cell survival显示文摘Mori M Morris S C Orekhova T 2000J Immunol2000,164,11:1
10Multiple presynaptic and postsynaptic sites of inhibitory modulation by myomodulin at ARC neuromuscular junctions of Aplysia显示文摘Orekhova I V Alexeeva V Church P J 2003Journal of Neurophysiology2003,89,3:1
11Membrane-catalyst systems for selectivity improvement in dehydrogenation and hydrogenation reactions显示文摘Gryaznov V M Ermilova M M Orekhova N V 2001Catal Today2001,67,:1
12Basophils initiate IL-4 production during a memory T-dependent response显示文摘Khodoun M V Orekhova T Potter C 2004J Exp Med2004,200,7:1
13Sensory gating in young children with autism: relation to age, IQ, and EEG gamma oscillations显示文摘OREKHOVA EV STROGANOVA TA PROKOFYEV AO 2008Neurosci Lett2008,434,2:1
14Distinct mechanisms produce functionally complementary actions of neuropeptides that are structurally related but derived from different precursors显示文摘Vilim F S Sasaki K Rybak J Alexeeva V Cropper E C Jing J Orekhova I V Brezina V Price D Romanova E V Rubakhin S S Hatcher N Sweedler J V Weiss K R 0,,01:1
15EEG theta rhythm in infants and preschool children显示文摘OREKHOVA E V STROGANOVA T POSIKER A 0,,05:1
16Sensory gating in young children with autism:Relation to age,IQ and EEG gamma oscillations 显示文摘Orekhova EV Stroganova TA Prokofyev AO 2008Neurosci Lett2008,434,2:1
17Local prevention of thrombosis in animal arteries by means of magnetic targeting of aspirin-loaded red cells显示文摘Orekhova N M Akchurin R S Belyaev A A 1990Thrombosis research1990,57,4:1
18Nanostructured metal–carbon membrane catalysts based on carbonized PAN显示文摘Galina Karpacheva Margarita Ermilova Natalia Orekhova Mikhail Efimov Lev Zemtsov Gennady Tereshchenko 2011Catalysis Today2011,,1:1
19Sensory gating in young children with autism:relation to age,IQ,and EEG gamma oscillations显示文摘Orekhova EV Stroganova TA Prokofyev AO 0,,02:1
20Rock Strength Estimation Using Several Tree-Based ML Techniques显示文摘The uniaxial compressive strength(UCS)of rock is an essential property of rock material in different relevant applications,such as rock slope,tunnel construction,and foundation.It takes enormous time and effort to obtain the UCS values directly in the laboratory.Accordingly,an indirect determination of UCS through conducting several rock index tests that are easy and fast to carry out is of interest and importance.This study presents powerful boosting trees evaluation framework,i.e.,adaptive boosting machine,extreme gradient boosting machine(XGBoost),and category gradient boosting machine,for estimating the UCS of sandstone.Schmidt hammer rebound number,P-wave velocity,and point load index were chosen as considered factors to forecast UCS values of sandstone samples.Taylor diagrams and five regression metrics,including coefficient of determination(R2),root mean square error,mean absolute error,variance account for,and A-20 index,were used to evaluate and compare the performance of these boosting trees.The results showed that the proposed boosting trees are able to provide a high level of prediction capacity for the prepared database.In particular,itwas worth noting that XGBoost is the best model to predict sandstone strength and it achieved 0.999 training R^(2) and 0.958 testing R^(2).The proposed model had more outstanding capability than neural network with optimization techniques during training and testing phases.The performed variable importance analysis reveals that the point load index has a significant influence on predicting UCS of sandstone.Zida Liu Danial Jahed Armaghani Pouyan Fakharian Diyuan Li Dmitrii Vladimirovich Ulrikh Natalia Nikolaevna Orekhova Khaled Mohamed Khedher 2022Computer Modeling in Engineering & Sciences2022,,12:0
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