高职院校《绿色餐饮管理》课程优化设计研究

文章以高职院校《绿色餐饮管理》课程教学为例,分析传统教学中存在的问题,结合协同创新背景下现代餐饮业的发展趋势与人才培养要求,对课程优化设计提出建议,改善课程教学效果,为餐饮业培养更多优秀的储备人才。     

新型铁道集装箱运输车车体分析及优化

新型铁道双层集装箱运输车是新研制的货车车型，新车型的设计与制造需要更多的科学依据。本文应用JIFEx软件对车体结构进行了多种工况的有限元分析和重量、刚度、应力、自振频率等多种务件的优化设计，为更加合理、经济的车体结构设计提供科学依据。     

一种求解非线性方程组的混沌优化算法

本文针对非线性方程组的求解问题提出一种混合算法,将方程组转换成一个优化问题。利用优化问题的非线性共轭梯度法与混沌优化方法相结合,提出了一种新的混合优化算法。该算法能使非线性共轭梯度法跳出局部最优,最终获得全局最优。算法的收敛性也进行了证明,数值结果表明该算法是有效的。     

Study on the submerged fermentation (SMF) of termitomyces eurrhizus

The influence of KH\-2PO\-4, peptone and brown sugar on Termitomyces fuliginosu's mycelium formation was studied with the application of the design of quadratic rotation general combination based on determining the growth curve. A quadratic regression model of biomass to the doses of the above three factors was established. The model fit well and therefore the optimum fermentation condition was obtained. Responses of biomass to the three single factors and to their interactions were discussed. Thus, the highest level of biomass, 21.1 g/L, appeared under the optimized conditions when the initial KH\-2PO\-4, peptone and brown sugar were 1 g/L, 4 g/L and 72 g/L respectively.     

免疫算法与遗传算法的比较

免疫算法与遗传算法二者有不同点，通过仿真实验表明它们之间在功能和应用方面有区别．     

科技期刊编辑心理素质结构及其优化

科技期刊编辑心理素质结构主要是性格品质中的态度、情感和意志，心理能力中的认知能力和心理适应能力，心理动力中的动机和兴趣等。提出了优化编辑心理素质的途径：塑造良好的性格品质，培养高水平的心理能力，激发强烈的心理动力。     

液固两相槽道流中柱状粒子取向的数值研究

对柱状粒子在槽道流场内的运动进行数值模拟，然后用统计方法得出大量柱状粒子的取向分布；给出了粒子长径比、粒子密度和流场区域对粒子取向分布的影响．计算结果表明，柱状粒子长径比的变化对粒子取向分布的影响不明显，粒子密度对粒子取向分布有一定影响，而流场区域所造成的流场横向速度梯度对粒子取向分布有重要影响．随着流场横向速度梯度增大，粒子取向趋势愈加明显，且当流场横向速度梯度增大到一定程度时，粒子取向都趋向于流动方向．文中部分结果与相关实验进行了比较，两者定性吻合较好。     

政府网站建设的影响因素分析及优化措施

通过对国内外政府网站的比较，提出了影响政府网站绩效优化的25个主要影响因素，并利用DEMATEL方法计算获得的原因度和中心度的数值辨识得到影响政府网站的主要因素为在线咨询、网站维护、信息服务、采购公开、财政公开、信息整合等，并根据主要因素提出了政府网站绩效优化的措施和建议。     

构建我国科学规范的公共财政支出体系的思考

本文从财政支出规模和结构两方面进行实证分析,揭示财政支出的"越位"与"缺位"现象依然大量存在,在此基础上提出,在公共财政的框架下,加大改革力度,增加财源,优化财政支出结构,重新构建适应公共财政要求的科学规范的支出体系。     

Application of response surface methodology in medium optimization for pyruvic acid production of <Emphasis Type="Italic">Torulopsis glabrata</Emphasis> TP19 in batch fermentation

Response surface methodology （RSM） was used to optimize the fermentation medium for enhancing pyruvic acid production by Torulopsis glabrata TP19. In the first step of optimization, with Plackett-Burman design, ammonium sulfate, glucose and nicotinic acid were found to be the important factors affecting pyruvic acid production significantly. In the second step, a 23 full factorial central composite design and RSM were applied to determine the optimal concentration of each significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the critical components were obtained as follows： ammonium sulfate 0.7498 （10.75 g/L）, glucose 0.9383 （109.38 g/L） and nicotinic acid 0.3633 （7.86 mg/L） with a predicted value of maximum pyruvic acid production of 42.2 g/L. Under the optimal conditions, the practical pyruvic acid production was 42.4 g/L. The determination coefficient （R^2） was 0.9483, which ensures adequate credibility of the model. By scaling up fermentation from flask to jar fermentor, we obtained promising results.