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| 1 | Tetracycline-inducible gene expression system in Leishmania Mexicana 显示文摘 | Kraeva N lshemgulova A Luke JB | 2014 | Mol Biochem Parasitol2014，198，1： | 1 |
| 2 | Stability of Mrna/DNA and DNA/DNA duplexes affects Mrna transcription显示文摘 | KRAEVA R I KRASTEV D B ROGUEV A | | 0，，03： | 1 |
| 3 | Ca2 + dysregulation in Ryrl ( 14895T/wt) mice causes congenital myopathy with progressive formation of mini cores , cores, and nemaline rods显示文摘 | Zvaritch E Kraeva N Bombardier E | 2009 | Proc Natl Acad Sci USA2009，106，21： | 1 |
| 4 | Genetic varia- tion and cognitive dysfunction one year after cardiac surgery 显示文摘 | Stewart A Katznelson R Kraeva N | 2013 | Anaesthesia2013，68，6： | 1 |
| 5 | Genetic variation and cognitive dysfunction one year after cardiac surgery 显示文摘 | Stewart A Katznelson R Kraeva N | 2013 | Anaesthesia2013，68，6： | 1 |
| 6 | CASQ1 gene is an unlikely candidate for malignant hyperthermia susceptibil?ity in the North American population显示文摘 | Kraeva N Zvaritch EvFrodis W et a1 | 2013 | Anesthesiology2013，118，2： | 1 |
| 7 | Biological characteristic and identification of soybean virus isolated from different Ukraine regions 显示文摘 | Kyrychenko A M Kraeva G V Kovalenko O G | 2012 | Mikrobiol Z2012，74，： | 1 |
| 8 | Influence of pre-and post-veraison on water deficit, synthesis and concentration of skinphenolic compounds during berry growth of Vitis viniferacv_ Shiraz 显示文摘 | Ojeda H Andary C Kraeva E | 2002 | American Journal of Enology and Viticulture2002，53，： | 1 |
| 9 | Malignant hyperthermia testing in probands without adverse anesthetic reaction显示文摘 | Timmins MA Rosenberg H Larach MG Sterling C Kraeva N Riazi S | 2015 | Anesthesiology2015，123，3： | 1 |
| 10 | A Parallel Approach to Discords Discovery in Massive Time Series Data显示文摘A discord is a refinement of the concept of an anomalous subsequence of a time series.Being one of the topical issues of time series mining,discords discovery is applied in a wide range of real-world areas(medicine,astronomy,economics,climate modeling,predictive maintenance,energy consumption,etc.).In this article,we propose a novel parallel algorithm for discords discovery on high-performance cluster with nodes based on many-core accelerators in the case when time series cannot fit in the main memory.We assumed that the time series is partitioned across the cluster nodes and achieved parallelization among the cluster nodes as well as within a single node.Within a cluster node,the algorithm employs a set of matrix data structures to store and index the subsequences of a time series,and to provide an efficient vectorization of computations on the accelerator.At each node,the algorithm processes its own partition and performs in two phases,namely candidate selection and discord refinement,with each phase requiring one linear scan through the partition.Then the local discords found are combined into the global candidate set and transmitted to each cluster node.Next,a node performs refinement of the global candidate set over its own partition resulting in the local true discord set.Finally,the global true discords set is constructed as intersection of the local true discord sets.The experimental evaluation on the real computer cluster with real and synthetic time series shows a high scalability of the proposed algorithm. | Mikhail Zymbler Alexander Grents Yana Kraeva Sachin Kumar | 2021 | Computers, Materials & Continua2021，，2： | 0 |
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