Kinetic theory for aquatic animal distribution simulation

Identifying the underlying mechanisms that influence the spatial patterns in populations improves the forecasts of the alternative management strategies on the spatial dynamics of the populations, which are critical for assessing and managing the fisheries and improving the water resource management. This paper described a new approach of the numerical model for the prediction of the aquatic animal distribution in the flows. The model was developed based on the kinetic theory of gases, the mechanism of the aquatic animal movement and the flow hydrodynamic patterns. The model was validated using the available experimental data and an acceptable agreement was obtained. A comprehensive parameter study was then conducted to help understand the impact and the sensitivity of each parameter to the aquatic animal distribution. The promising results of the model reveal the prospect of applying this model to the reliable prediction of the aquatic animal distribution within a relatively large water area.     

An introduction to the novel vacuum plume effects experimental system

This paper introduces a newly developed vacuum Plume effects Experimental System(PES) used for plume effect tests of rocket engines and vacuum heat tests of satellites. The design level, manufacturing technique, and testing capabilities of the PES have reached a highly advanced level at home and abroad. The PES mainly consists of a vacuum chamber, vacuum acquisition system, nitrogen system, helium system, and parameter measurement system. A breakthrough was obtained on the Large Scale Cryo-Pumping System, which was based on a combined liquid nitrogen and liquid helium heat sink. An internal cryopump with a limiting temperature of 4.2 K and an efficient absorption area of 305 m2 was developed. The absorption capability of the cryopump was above 7×107 L/s. Vacuum plume tests were performed in the temperature ranges of ambient temperature, liquid nitrogen, and liquid helium. The experimental results showed that the plume test capability of PES is higher than that of similar foreign equipment STG and CHAFF-4. For 2 g/s and 117 N rocket engines, the dynamic vacuum degree of environment was 8.0×10?4 Pa(approximately 137 km height) and 1.1×10?2 Pa(approximately 106 km height), respectively.     

Multi-species particle swarms optimization based on orthogonal learning and its application for optimal design of a butterfly-shaped patch antenna

A new multi-species particle swarm optimization with a two-level hierarchical topology and the orthogonal learning strategy(OMSPSO) is proposed, which enhances the global search ability of particles and increases their convergence rates. The numerical results on 10 benchmark functions demonstrated the effectiveness of our proposed algorithm. Then, the proposed algorithm is presented to design a butterfly-shaped microstrip patch antenna. Combined with the HFSS solver, a butterfly-shaped patch antenna with a bandwidth of about 40.1% is designed by using the proposed OMSPSO. The return loss of the butterfly-shaped antenna is greater than 10 d B between 4.15 and 6.36 GHz. The antenna can serve simultaneously for the high-speed wireless computer networks(5.15–5.35 GHz) and the RFID systems(5.8 GHz).     

An ICPSO-RBFNN nonlinear inversion for electrical resistivity imaging

To improve the global search ability and imaging quality of electrical resistivity imaging(ERI) inversion, a two-stage learning ICPSO algorithm of radial basis function neural network(RBFNN) based on information criterion(IC) and particle swarm optimization(PSO) is presented. In the proposed method, IC is applied to obtain the hidden layer structure by calculating the optimal IC value automatically and PSO algorithm is used to optimize the centers and widths of the radial basis functions in the hidden layer. Meanwhile, impacts of different information criteria to the inversion results are compared, and an implementation of the proposed ICPSO algorithm is given. The optimized neural network has one hidden layer with 261 nodes selected by AKAIKE's information criterion(AIC) and it is trained on 32 data sets and tested on another 8 synthetic data sets. Two complex synthetic examples are used to verify the feasibility and effectiveness of the proposed method with two learning stages. The results show that the proposed method has better performance and higher imaging quality than three-layer and four-layer back propagation neural networks(BPNNs) and traditional least square(LS) inversion.     

Temperature control for thermal treatment of aluminum alloy in a large-scale vertical quench furnace

The temperature control of the large-scale vertical quench furnace is very difficult due to its huge volume and complex thermal exchanges. To meet the technical requirement of the quenching process, a temperature control system which integrates temperature calibration and temperature uniformity control is developed for the thermal treatment of aluminum alloy workpieces in the large-scale vertical quench furnace. To obtain the aluminum alloy workpiece temperature, an air heat transfer model is newly established to describe the temperature gradient distribution so that the immeasurable workpiece temperature can be calibrated from the available thermocouple temperature. To satisfy the uniformity control of the furnace temperature, a second order partial differential equation(PDE) is derived to describe the thermal dynamics inside the vertical quench furnace. Based on the PDE, a decoupling matrix is constructed to solve the coupling issue and decouple the heating process into multiple independent heating subsystems. Then, using the expert control rule to find a compromise of temperature rising time and overshoot during the quenching process. The developed temperature control system has been successfully applied to a 31 m large-scale vertical quench furnace, and the industrial running results show the significant improvement of the temperature uniformity, lower overshoot and shortened processing time.     

氨基糖苷类抗生素混合物对蛋白核小球藻的时间依赖性毒性

越来越多的研究表明,污染物在不同暴露时间具有不同的毒性变化规律。以4种氨基糖苷类抗生素,硫酸安普霉素(APR)、双氢链霉素(DIH)、硫酸新霉素(NEO)和硫酸链霉素(STS)为混合物组分,应用直接均分射线法和均匀射线法对4类抗生素设计出6组二元混合体系和4组三元混合体系,每个混合物体系设计5条射线共50条射线,采用时间毒性微板分析法(T-MAT)测定这些抗生素混合物射线在6个暴露时间点(即0、12、24、48、72和96 h)对蛋白核小球藻(C.pyrenoidosa)的生长抑制毒性。结果表明,抗生素二元和三元混合物系的50条射线对C.pyrenoidosa毒性均具有明显的时间依赖性,即混合物射线的毒性随着暴露时间的延长而增强;以半数效应浓度(EC50)的负对数p EC50为毒性指标,不同混合物体系的时间毒性变化规律不同,有的混合物从0 h开始,毒性随时间延长逐渐增强,有的从12 h或24h,甚至48 h后,毒性开始迅速增加;同一混合物体系中不同射线的毒性因组分浓度比的变化而变化,即混合物射线的毒性随毒性大的组分比例增加而增强。     

西部地区高职院校高学历人才引进中的思考与对策——以博士研究生引进为例

西部地区职业院校在国家政策扶持下正在大力引进高学历人才,以促进学校的发展及其教育体系的改革,但在引进人才的同时,一些学校却忽视了对高学历人才的绩效考核和作用发挥的评估。基于此,分析了西部地区高职院校人才引进的现状为:引进博士研究生的工作刚刚起步,愿意到职业院校工作的女博士居多,西部地区高职院校引进博士工作滞后。其存在的问题为:重数量轻专业、重引进轻培养、重业务轻素质、重待遇轻考核。针对上述现状和问题提出相应的对策和建议:完善引进高学历人才的规章制度和政策,注重引进人才的成本意识和规划性,优化引进高学历人才的发展空间和培养平台,加强对引进人才的考核机制,避免"近亲繁殖"和导师推介现象。     

藻细胞内外有机物氯消毒后典型消毒副产物的生成潜能

为探究藻细胞内外有机物氯化后典型消毒副产物的生成潜能,选取小球藻为研究对象,采用加氯消毒法研究了在不同生长时期及不同氯投加量下典型含碳类消毒副产物(THMs)和含氮类卤代消毒副产物(TCNM)的生成规律,并对二者的生成势进行了对比.结果表明:细胞外有机物(EOM)和细胞内有机物(IOM)提取液的总有机碳(TOC)和有机氮(DON)较高,而芳香结构和不饱和双键的有机质质量浓度很低;从对数生长期到衰亡期,EOM经氯化后TCNM的生成量逐渐增加,IOM的TCNM生成量则呈现先增加后降低的趋势;THMs的生成规律与TCNM相似,但其生成量明显高于TCNM.增加氯投量,EOM的TCNM生成量逐渐升高,IOM的TCNM生成量则先升高后下降;在氯投量为30 mg/L时,IOM的TCNM生成量最高;稳定生长期小球藻细胞的EOM和IOM在氯投量由20 mg/L升高到30 mg/L时,THMs的生成量稳定增加,当氯投量超过30 mg/L时,THMs的生成势显著升高,且三氯甲烷为THMs的主导物种.     

金属Al电子结构与热力学性质的第一性原理计算

针对金属Al的电子结构与热力学性质,采用基于密度泛函理论的第一性原理以及CASTEP软件进行了理论计算,得到了金属Al的平衡晶格常数、相关弹性系数、电子能带、态密度、声子谱、声子态密度以及相关热力学参数,并对计算结果进行了理论分析.结果表明,金属Al具有明显的导电特性与良好的塑性.金属Al具有3条声学支波色散曲线与一个声子态密度峰.随着温度的增加,熵、焓均增加,而自由能减少.热容量随着温度的增加而迅速增加,当温度达到500 K后,热容量几乎不变,所得结论与物理规律相符合.     

溶胶凝胶分步反应合成硅铁红色料及其呈色性能

以FeCl3、NH3·H2O和正硅酸四乙酯(TEOS)为原料,采用溶胶凝胶分步反应合成了硅铁红色料。研究了煅烧温度、硅铁比、包裹次数等工艺因素对色料红度值的影响.利用XRD、FTIR和全自动测色差计等分析手段对色料结构和呈色性能进行了表征.XRD图谱中未发现有Fe2O3或Fe3O4的衍射峰,表明铁离子被包裹在二氧化硅晶体内,采用本方法所合成的硅铁红色料具有较好的包裹效果.FTIR分析结果也进一步证实了二氧化硅对铁红色料的包裹.同时,色料的红度值随着煅烧温度的升高呈先增大后减小的趋势,900℃煅烧的色料具有最大红度值,a*=22.89,比传统固相法合成色料的最佳煅烧温度降低了200℃;随着硅铁比的增大,色料的红度值仍出现先增大后减小趋势,硅铁比等于5∶1红度值最大;随着包裹次数的增加,SiO2的包裹层逐渐增厚,色料的红度值逐渐减小,而明度值逐渐增大.