lncrps25 is an intergenic long noncoding RNA (lncRNA), which is location close to rps25 (ribosomal protein S25) gene, is reported share high conserved sequence with NREP (neuronal regeneration-related protein) 3′-untranslated region. The function and mechanism of most of the lncRNA in embryo development remain largely unknown. In zebrafish, lncrps25 is widely expressed in the early embryonic stage and spinal cord during development. Morpholino (MO) knockdown of zebrafish lncrps25

In cloud computing environment, the optimal placement of virtual machines (VMs) onto physical servers has been of great importance to improving the resource utilization and energy efficiency of data centers. In this work, we study the VM placement problem for minimizing the total energy consumption in a data center under the uncertainty of resource requirements demanded by the VMs. Instead of using deterministic values to represent the resource requirements, as in most existing placers, we propose a stochastic placement approach in which the resource requirement variations are modeled as random variables. We further formulate the uncertainty-aware VM placement problem as a stochastic optimization model, of which the optimization objective is to minimize the total energy consumed by all physical machines (PMs). In the presence of varying resource requirements, the optimization model is subject to a probabilistic constraint on resource overflow probability on each PM (i.e., the probability of demanded CPU/memory exceeding the maximum capacity the PM can provide). To solve this stochastic optimization problem, we develop an efficient metaheuristic to seek for an optimized VM placement solution that minimizes the total energy cost while satisfying the probabilistic resource constraint. Moreover, by incorporating a solution initialization procedure and a neighborhood search strategy, we can further improve the effectiveness of the metaheuristic in solution space exploration. Extensive simulations are performed to justify the proposed approach, in terms of both solution feasibility and energy efficiency. By taking into account the uncertainty of resource requirements, the stochastic method can achieve more energy-efficient placement solutions compared with the deterministic VM placement algorithm.INDEX TERMS Data center, virtual machine placement, energy efficiency, stochastic optimization.

circular rnas (circrnas) are a class of non-coding rnas that participate in various biological processes. However, the function of circrnas in neonatal hypoxic-ischemic encephalopathy (Hie) is not fully understood. in the present study, the differentially expressed circrnas in the peripheral blood of neonates with Hie and control samples were characterized by a microarray assay. a total of 456 circrnas were significantly differentially expressed in the peripheral blood of neonates with Hie, with 250 upregulated and 206 downregulated circrnas in Hie compared with the control samples. reverse transcription-quantitative Pcr was used to investigate specific circRNAs. Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes pathway analyses were used to determine the function of the parent genes of the dysregulated circrnas. In addition, microRNAs that may be associated with specific circrnas were predicted using miranda. collectively, the present results indicated the potential importance of circrnas in the peripheral blood of neonates with Hie.

No abstract