The purpose of this study was to assess fetal bovine acellular dermal matrix as a scaffold for supporting the differentiation of bone marrow mesenchymal stem cells into neural cells following induction with neural differentiation medium. We performed long-term, continuous observation of cell morphology, growth, differentiation, and neuronal development using several microscopy techniques in conjunction with immunohistochemistry. We examined specific neuronal proteins and Nissl bodies involved in the differentiation process in order to determine the neuronal differentiation of bone marrow mesenchymal stem cells. The results show that bone marrow mesenchymal stem cells that differentiate on fetal bovine acellular dermal matrix display neuronal morphology with unipolar and bi/multipolar neurite elongations that express neuronal-specific proteins, including βIII tubulin. The bone marrow mesenchymal stem cells grown on fetal bovine acellular dermal matrix and induced for long periods of time with neural differentiation medium differentiated into a multilayered neural network-like structure with long nerve fibers that was composed of several parallel microfibers and neuronal cells, forming a complete neural circuit with dendrite-dendrite to axon-dendrite to dendrite-axon synapses. In addition, growth cones with filopodia were observed using scanning electron microscopy. Paraffin sectioning showed differentiated bone marrow mesenchymal stem cells with the typical features of neuronal phenotype, such as a large, round nucleus and a cytoplasm full of Nissl bodies. The data suggest that the biological scaffold fetal bovine acellular dermal matrix is capable of supporting human bone marrow mesenchymal stem cell differentiation into functional neurons and the subsequent formation of tissue engineered nerve.

Computational fluid dynamics has important application value and theoretical significance in engineering. Fluid mechanics has emerged as a way out of many engineering design problems. In recent years, applying fluid mechanics in the aircraft field has brought a breakthrough to problems that could not be solved previously. This paper mainly introduces the development history of the application of computational fluid dynamics in the direction of the wing and the specific application of this technology in the numerical simulation of the wing flow field. The aerodynamic characteristics of aircraft wings are related to the flight performance of the aircraft. The influence of wing aerodynamic characteristics, wing lift drag coefficient, and wing noise is a hot research issue. The influence of flow field research methods (such as numerical simulation) on the optimization and improvement process of the wing is analyzed, and the numerical results and simulation results of the flow field are found. The future development trend of the wing is proposed. Finally, it is believed that changes in airfoils will have a significant impact on aircraft performance.