Design and Realization of Information System for Ningxia Sci-tech Special Commissioners

The information system for Ningxia sci-tech special commissioners is an application system for realizing information collection,management and sharing in the entrepreneurial process of sci-tech special commissioners. This paper introduces overall design ideas,system functions,key technologies and realization methods of the information system for Ningxia sci-tech special commissioners. Completion of construction and coming into operation of the information system bring new breakthrough for information management and data statistics of sci-tech special commissioners.

Analysis on Marketing Strategy of Ningxia Wine Market Based on 4P Perspective

With the development of our society and the continuous improvement of people's living standards, consumers demand for wine is also growing. In recent years, China's wine industry has entered a stage of rapid development, although the Ningxia wine is a national enterprise, but also the old brand, but because of the market, many brands of wine, Ningxia wine is facing many brands of similar products between the competition. Under such a huge market competition pressure, how to seize the market opportunities, establish a good product image, so that Ningxia wine in the market invincible, has a very important significance. Based on the marketing theory and the information collected from the market, this paper analyzes the current situation and existing problems of Ningxia wine, and puts forward some suggestions for the situation of Ningxia wine, hoping to bring some help to Ningxia wine.

An Opposition-Based Learning-Based Search Mechanism for Flying Foxes Optimization Algorithm

The flying foxes optimization(FFO)algorithm,as a newly introduced metaheuristic algorithm,is inspired by the survival tactics of flying foxes in heat wave environments.FFO preferentially selects the best-performing individuals.This tendency will cause the newly generated solution to remain closely tied to the candidate optimal in the search area.To address this issue,the paper introduces an opposition-based learning-based search mechanism for FFO algorithm(IFFO).Firstly,this paper introduces niching techniques to improve the survival list method,which not only focuses on the adaptability of individuals but also considers the population’s crowding degree to enhance the global search capability.Secondly,an initialization strategy of opposition-based learning is used to perturb the initial population and elevate its quality.Finally,to verify the superiority of the improved search mechanism,IFFO,FFO and the cutting-edge metaheuristic algorithms are compared and analyzed using a set of test functions.The results prove that compared with other algorithms,IFFO is characterized by its rapid convergence,precise results and robust stability.

High temperature self-lubricating Ti-Mo-Ag composites with exceptional high mechanical strength and wear resistance

Titanium alloys are of keen interest as lightweight structural materials for aerospace and automotive in-dustries.However,a longstanding problem for these materials is their poor tribological performances.Herein,we designed and fabricated a multiphase Ti-Mo-Ag composite(TMA)with heterogeneous triple-phase precipitation(TPP)structure by spark plasma sintering.A lamellarα-phase(αL)precipitates from theβ-phase under furnace cooling conditions and maintains a Burgers orientation relationship(BOR)withβ-matrix.An active eutectic transition also occurs in the titanium matrix,resulting in TiAg phase.The intersecting acicular TiAg and lamellarαL cutβgrains into fine blocks and the primary equiaxedαphase also provides many interfaces withβphase,which together effectively impede dislocation move-ment and increase strength.Compared with other titanium composites,TMA with TPP microstructure gets an excellent combination of strength(yield strength 1205 MPa)and toughness(fracture strain 27%).Furthermore,the TPP structure endows TMA with strong cracking resistance,which aids in reducing abra-sive debris at high temperatures during sliding and obtaining a low wear rate.Simultaneously,Ag parti-cles distributed at grain boundaries will easily diffuse to the wear surface,in situ forming the necessary lubricating phase Ag_(2)MoO_(4) with Mo-rich matrix debris via oxidation.TMA possesses excellent tribologi-cal properties with especially low wear rate of 8.0 x 10^(-6)mm^(3)N^(-1)m^(-1) and friction coefficient(CoF)of merely 0.20 at 600℃.Unlike other self-lubricating composites with high volume fraction of soft ceramic lubricants,which inevitably sacrifice their mechanical strength and ductility,the composite TMA pos-sesses well-balanced strength,toughness and self-lubricating properties.It holds important implications to design other metal matrix self-lubricating composites(MMSCs)used for load-bearing moving parts.