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The cermet fuel element was achieved by dispersing the UO2particles with or without tungsten (W) coating layer uniformly in the W matrix. It is considered to be a robust and secure fuel for use in nuclear thermal propulsion in the near future. In this study, the effect of deposition temperature on the densification and grain refinement of the W coating layer was investigated. A high-density (19.24 g·cm−3) W layer with a uniform thickness (~ 10 μm) and fine grains (~ 297 nm) was prepared by spouted-bed chemical vapor deposition. The prepared high-density, fine-grained W layer has the following advantages. It can prevent direct contact between fuel particles, resulting in a more uniform fuel distribution. In addition, it can decrease the reaction probability between the fuel kernel and H2, and prevent the release of fission products from the fuel kernel by extending the diffusion path at grain boundaries more efficiently. Moreover, the high-density, fine-grained W layer showed outstanding thermal and mechanical performance. Its average hardness and Young’s modulus were approximately 7 and 200 GPa, respectively. The thermal conductivity of the W film was 101–124 W·m−1·K−1at 298–773 K. This work furthers our understanding of the potential application of the high-density, fine-grained W layer in nuclear thermal propulsion.

To observe the application of acupuncture at distal points combined with medicated cupping on the affected parts in the treatment of temporomandibular disorders (TMD) and to evaluate its effectiveness.

The globally convergent version of MMA (GCMMA) is deeply studied in this paper. Based on 3-bar truss structures, the advantages and disadvantages of the rules for updating the parameters are analyzed. The factor that makes convergence rate slow is found. Then the improvement measure by using two points approximate optimization for reference is put forward to speed up convergence rate. Finally by application on structural optimization of a truss, improved GCMMA can converge to the global optimal solution. Meanwhile, the convergent rate of improved GCMMA is significantly faster than GCMMA.

In order to reduce the environmental pollution of coal-fired heating, coal plus biomass co-firing has been put into test. In this experiment, based on the a 20t coal-fired steam boiler of heating company in northeastern region, through observing the data that generated by different fuels ratio, it did the economic and social analysis by using contrast method and computer technology. The results showed: when the ratio of straw and coal is 1:11, it gains optimal benefit.

In order to play an important role in improving the energy structure of new energy, solving the energy shortage and environmental pollution with new energy, it did the research on investment status of new energy industry in China. Based on the data analysis, this paper mainly discussed problems investigate management, technology, capital, etc. and put forward reasonable proposals that conducive to the development of new energy industries.

In order to achieve the goal of energy efficiency in commercial buildings, This article focused on EMC model in commercial building energy saving, and studied on the features of the model, building, usage and other aspects.

To valve leakage in working process of diesel engine, the corresponding fault simulation is an important measure for finding a diagnostic method. By the Law of Conversation of Energy, Conversation of Mass and the Classical Equations, mathematical model of working cycle of diesel engine is reasonably built and calculated. Through analyzing valve leakage fault, the single Weber-function is used as a combustion model in fault simulation. Fault diagnosing of valve via the energy parameters of cylinder head vibration signal is proposed. The key to diagnose valve leakage closely lies in analyzing its high frequency components through selecting the cylinder head vibration signal close to the maximum burning and exploding pressure step and proposing spectrum analysis.

The subproblem of the globally convergent version of method of moving asymptotes (GCMMA) was deeply studied and realized by Lagrange dual method, sequential unconstrained minimization technique (SUMT) and conjugate gradient method. Based on the convex, separable and conservative properties of subproblem, a dual problem was built by using Lagrange dual method. The dual problem was transformed into unconstrained optimization problem using SUMT and solved by conjugate gradient method. Finally, the feasibility of solution of subproblem is demonstrated by truss structural optimization problem. Comparing with other optimization algorithms, GCMMA can converge to the global optimal solution.

Global warming caused by CO2 and other greenhouse gas emissions has a direct impact of human existence, The current three sets of technological solutions corresponding to the global warming to develop low carbon economy such as improving energy efficiency and conservation, reducing the carbon content of energy, development and utilization of natural carbon sinks, are not only existence of selection bottleneck but also run hardly and cannot solve global warming in this century fundamentally. Wood carbon sequestration is a new global carbon pool based on technological innovation, combined with modern agriculture, created by means of industrialization. Wood carbon sequestration is not only a long-term carbon sequestration benefits storage body also can be a low-cost production resources or materials. To cultivate it to become an industry will not only become the new economic growth point for farmers to increase incomes, promote regional economic restructuring and industrial upgrading but also end the dependence of forest wood resources to human. This paper puts forward some corresponding countermeasures and suggestions on making reform on institutional level and the innovation of financial products to support the development of wood carbon sequestration materials industry, based on the financing obstacles to the development of wood carbon sequestration materials industry, form the significance of wood carbon sequestration materials development.

This paper proposed to build a smile expression classification system on data sets of GENKI that can represent real-world environments, and tested its implementation, in which we got the optimal recognition rate up to 86.197%. To deal with the features extraction problems, hybrid features (i.e., Gabor, PHOG, PLBP) are used, using hybrid recognition algorithms (i.e., GentleBoost, SVM) to classify, in this paper. Experiments showed the effectiveness of our methods.