Craniofacial malformations are common congenital birth defects and usually caused by abnormal development of the cranial neural crest cells. Some nucleolar ribosome biogenesis factors are implicated in neural crest disorders also known as neurocristopathies. However, the underlying mechanisms linking ribosome biogenesis and neural crest cell (NCC) development remain to be elucidated. Here we report a novel zebrafish model with a CRISPR/Cas9-generated esf1 mutation, which exhibits severe NCC-derived pharyngeal cartilage loss and defects in the eyes, brain, and heart. The expression of several typical NCC markers, including sox10, dlx2a, nrp2b, crestin, vgll2a, and sox9a, was reduced in the head of the esf1 mutants, which indicates that esf1 plays a role in the development of zebrafish NCCs. We demonstrate that, similar to the yeast, loss of esf1 in zebrafish leads to defects in 18S rRNA biogenesis and ribosome biogenesis. We also show strong upregulation of p53 signaling as well as apoptosis, and poor proliferation in mutants. Inactivation of p53 rescues the early tissue defects and pharyngeal cartilage loss observed in esf1 mutants, indicating that increased cell death and pharyngeal cartilage defects observed in esf1 mutants are mediated via upregulated p53 signaling pathways. Based on transplantation analysis, we found esf1 functions in NCC in a cell autonomous fashion. Together, our results suggest that esf1 is required for NCC development and pharyngeal cartilage formation. These studies provide a potential model for investigating the relationship between ribosome biogenesis defects and craniofacial neurocristopathies.

In recent years, Internet resources gradually rich, its more and more widely in the field of the application in the social production and living. Using Internet technology equipment maintenance management, not only can quickly find the crux of accurately, also can save the maintenance cost and improve the efficiency of work. Whether medical equipment maintenance support work quickly and efficiently, equipment information management in a timely manner and foreseeable, guarantee the high standard of medical service quality in hospital has become the essential link.

The high-order schemes have attracted more and more attention in computational fluid dynamics (CFD) simulations. As a kind of high-order schemes, weighted compact nonlinear schemes (WCNSs) have been widely applied. In recent years, the highly parallel graphics processing unit (GPU) is rapidly gaining maturity as a powerful engine for high performance computer. This paper studies the heterogeneous parallel computation and implementation of a high-order CFD program on Tianhe-1A supercomputer system. The CFD program is intended for the solution of the Navier-Stokes equations on multi-block Cartesian meshes for aerodynamics research. The solver utilizes the high-order WCNS scheme for space discretization and Jacobi iteration method for time discretization. The performance analyses show that the single-GPU solver achieves about 8× speed-ups relative to a serial computation on a CPU core.

As one of the most significant methods to study hypersonic flight vehicle, the numerical simulation of supersonic combustion ramjet has drawn an ever increasing attention at present. Nevertheless, the traditional serial simulation cannot satisfy the practical needs because of high calculation precision, avaricious memory overhead and overlong computation time. In this paper, we study on a general algorithm for scramjet simulation, and bring about parallelization by using a hypergraph partitioning algorithm and a two level hybrid parallel model. The whole computing domain is decomposed into several sub-domains based on hypergraph partitioning, and each sub-domain is assigned to a MPI process. A single step of computation operates in the inter loop level, where a compiler directive is used to split MPI process into several OpenMP threads. Finally, speedup and parallel efficiency of our hybrid program testing on a China-made supercomputer with 4 to 256 cores is compared with pure MPI program. And, the hybrid program exhibits better parallel performance than the pure MPI program in the main, roughly as expected. The result indicates that our hybrid parallel strategy is effective and practical in scramjet simulation.

In recent years, the highly parallel graphics processing unit (GPU) is rapidly gaining maturity as a powerful engine for high performance computer. More and more researchers try to port the computational fluid dynamics (CFD) simulations into heterogeneous computers. However, most researchers focus on exploring the computational capability of GPU, while ignore the computational capability of CPU. In order to utilize the computational capability of CPU and GPU, we propose a hybrid CUDA/OpenMP parallel programming model. And we proposed an adaptive load balancing scheme to distribute the workload among CPUs and GPUs. With this programming model, we implement a high-order CFD program on “Tianhe-1A” supercomputer system. The performance results validate the workload distribution scheme.