A new grid application management system (GAMS) is proposed in this paper, which is based on globus. GAMS adopts three-tier architecture to combine grid resources, grid services and grid users organically. In our system, geographically distributed resources are shared and intensive applications are managed very well. Single sign-on and unified authentication mechanisms are also realized based on the digital certificates. In addition, effective data management is implemented in our system, including safe and fast data transfer, replicas location and so on. Hot-swapping application management strategy is employed to improve the disaster recovery capabilities, scalability and flexibility of the system. In the end, we take the e-Space Weather Grid system as an example to validate GAMS. It is easy to find that GAMS is efficient and convenient.
Chinese fir ( Cunninghamia lanceolata (Lamb.) Hook) is an excellent fast-growing timber species and has significant value in the forestry industry. In order to increase the nitrogen and phosphorus absorption and utilization in Chinese fir, shared differentially expressed genes under low nitrogen and phosphorus stress were screened in this study. Seedling of Chinese fir clone X6 was cultivated in aeroponic system with 3 treatments, namely, low nitrogen (LN), low phosphorus (LP) and a control check (with nitrogen and phosphorus sufficient, CK). After 4 months of treatment, the roots from the LN, LP and CK groups were collected and transcriptome sequencing was done by LC Sciences (USA) using an Illumina platform. When comparing the LN stress group with the CK group, 977 SDGEs were detected, 264 of which had KEGG annotations; 931 SDGEs were detected when comparing the LP stress group with the CK group, of which 189 had KEGG annotations; 297 SDGEs were detected in both the LN stress and LP stress groups, 78 of which had KEGG annotations representing 98 metabolic pathways. Among the 78 selected SDEGs that were differentially expressed under both LN and LP stress conditions, Twenty-one SDEGs were selected based on the metabolic pathways that nitrogen and phosphorus are involved in, these genes are PNR , PSBA , EGLC , GLC , END , BGLU , AMY , A1E, PAL, GOGAT, NIR1 , NIR2, C4M, PAL, PRDX6, POX, CCR, CCoAOMT , FDH, CHS and ANR. These genes can potentially be used in breeding to improve both nitrogen and phosphorus utilization efficiency in Chinese fir.
Energy efficiency is one of our most economical sources of new energy. When it comes to efficient building design, the computation of the heating load (HL) and cooling load (CL) is required to determine the specifications of the heating and cooling equipment. The objective of this paper is to model heating load and cooling load buildings using neural networks in order to predict HL load and CL load. Rprop with genetic algorithm was proposed to increase the global convergence capability of Rprop by modifying a corresponding weight. Comparison results show that Rprop with GA can successfully improve the global convergence capability of Rprop and achieve lower MSE than other perceptron training algorithms, such as Back-Propagation or original Rprop. In addition, the trained network has better generalization ability and stabilization performance.
It has been established that changes in gene expression occur during cold acclimation in a wide range of plants. Here we present a novel cDNA encoding a protein with a calculated molecular mass of 25 kDa, designated cor25, from Brassica pekinensis cv. Zaoshu 5 (Chinese cabbage) that was similar with a cold-regulated Arabidopsis thaliana L. gene, cor47. Protein sequence alignment showed that COR25 had 53.5% of identity with COR47 and 59.6% of identity with ERD10, an Arabidopsis thaliana L. early-responsive gene to dehydration stress. Northern blot analysis revealed that the cor25 expression was cold inducible. Moreover, the transcripts of the cor25 accumulated in plants in response to exogenous application of ABA and water stress. The possible functions of the cold-regulated gene and the mechanism for plants to cope with low temperature are discussed.
The parallel implementation of a novel mesh simplification method is introduced detailedly in this paper, which is based on a Beowulf cluster system. Taking full advantage of the distributed memory and high performance network, we can simplify out-of-core models quickly and avoid thrashing the virtual memory system. In addition, the file I/O and load balancing are also considered to make sure a near optimal utilization of the computational resources as well as obtaining high quality output. A set of numerical experiments have demonstrated that our parallel implementation can not only reduce the execution time greatly but also obtain higher parallel efficiency.
This paper focus on a general-purpose FDTD-based solver, called general electromagnetic solver (GEMS), designed for modeling and simulating a wide variety of large-scale electromagnetic problems, involving microwave circuits, RF and digital electronic packages, as well as open region radiation and scattering problems. We begin by observing that there is a rapidly growing trend in computational electromagnetics (CEM) that is significantly impacting the computing landscape, namely the use of highly-parallel computers to address large and complex problems.
The rendering cloud platform provides rendering cloud service for animated films, special effects, animated series, effect drawing, creative design and other rendering work. In this paper, a deep research is made into the efficiency and time consumption of short-time rendering frames in a rendering cloud platform with a management scheduling node. An optimized dynamic requesting-interval system is exposed to enhance the performance of this rendering platform to achieve the maximum utilization of rendering nodes when rendering short-time frames. An evaluation experiment between the non-optimized system and the optimized one is done, which shows that the optimized system can achieve a good performance compared to the old system.
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