Surface Microstructure Evolution Analysis of TiAl Alloy by Laser Shock Peening

针对TiAl合金进行激光冲击强化,研究多晶体在强化过程中表面微观形貌演变,发现经过单点激光冲击的试样表面形成的凹坑中存在一些分布不均匀的凸起结构,凸起结构相对高度范围为100～300 nm,凸起边缘为环状凸台;研究激光冲击能量密度对表面凸起结构的影响,发现随着激光能量密度增加凸起结构的数量明显增加,凸起相对高度有增加的趋势,同时凹坑中心平均表面粗糙度明显增加;研究搭接率为50%的多次冲击形貌变化,发现相比于单次冲击,多次冲击凸起数量明显减少,表面粗糙度略有增加,这是因为随着冲击次数增加弹性变形和塑性变形趋于一种饱和状态,弹性变形部分发生回弹。分析表面凸起结构形成机制,建立不均匀塑性变形流模型和冲击波叠加模型,激光冲击强化形成的表面形貌是2种模型相互耦合作用的结果

Identification and characterization of a purple sulfur bacterium from mangrove with rhodopin as predominant carotenoid

【目的】挖掘我国海洋紫色硫细菌物种资源、深入理解紫色硫细菌在红树林生态系统中的作用。【方法】采用琼脂振荡稀释法、显微技术、紫外可见吸收光谱法、TlC、HPlC和MS法。【结果】从福建泉州洛阳桥红树林潮间带泥水样分离获得一株细胞内含多个硫粒的细菌菌株,光合内膜呈囊状、含细菌叶绿素A和螺菌黄质系类胡萝卜素,结合16S rrnA基因序列分析和系统发育分析,表明该菌株属于海洋着色菌属(MArICHrOMATIuM)。该菌株细胞球杆状;最适PH范围5.7-6.7;最适盐度范围2%-3.5%;温度范围20℃-35℃;能耐受3.6 MMOl/l硫化物;主要积累玫红品类胡萝卜素,而不是螺菌黄质;3种细菌叶绿素组分中,一种为bCHl AP,另2种未见报道;不需要生长因子;可光同化固定CO2、能很好利用多种有机酸盐、多价态氮化物和硫化物,尤其能利用柠檬酸、葡萄糖、蔗糖、果糖和丙醇;对氯霉素、头孢唑林、苯、对羟基联苯、恩诺沙星、啶虫脒、HgCl2和CdCl2的IC50值分别为70、100、20、20、3、170、5 Mg/l和25 Mg/l。【结论】该菌株是一株轻度耐酸、高含玫红品类胡萝卜素的紫色硫细菌,被鉴定为MArICHrOMATIuM grACIlE新菌株,编号yl28。该菌株具有广泛利用多种碳源、氮源和硫源物质的能力,对抗生素氯霉素和头孢唑啉、农药啶虫脒、重金属汞和镉具有较强耐受性,对抗生素恩诺沙星较敏感。[Objective]To exploit resources of purple sulfur bacteria in China and further investigate its response mechanism to ecological environment of mangrove.[Methods] Repeated agar shake dilution method,microscope techniques,UV-Vis absorption spectra,thin layer chromatography,HPLC and MS were used.[Results] We isolated a purple sulfur bacterium,designated as strain YL28,from a intertidal sediment sample collected from inshore mangrove near Luoyang Bridge of Quanzhou city,Fujian Province of China.Cells were ovoid to rod shaped,0.5 μm-1 μm × 2 μm-3 μm.Color of cell suspensions was reddish-brown.It possessed vesicular intracytoplasmic membrane structures,contained rhodopin and phytylated bacteriochlorophyll a as well as the other two novel bacteriochlorophyll a intermediates.The optimum growth was at 2%-3.5% NaCl,pH 5.7-6.7 and 20℃-35℃.Photoautotrophically growth anaerobically in the light with sulphide,sulphur,thiosulfate,sulfite as electron donor.Globules of S0 distributed inside the cells.Photoheterotrophic growth with various organic substrates,especially citrate,glucose,sucrose,fructose and propanol in the presence of sulfide.Nitrogen sources: ammonium salts,N2,urea,glutamate,nitrate and nitrite.Vitamins were not required.Qualitative assessment of IC50 values of chloromycetin,cefazolin,benzene,hydroxy biphenyl,enrofloxacin,acetamiprid,mercuric chloride and cadmium chloride were 70,100,20,20,3,170,5 mg/L and 25 mg/L,respectively.[Conclusion]Based on phenotype characteristics and 16S rRNA gene sequence similarity of 99% to M.gracile,strain YL28 was identified as novel isolate of M.gracile despite its different physiological characteristics with respect to the species of M.gracile.The organism is possessed of slightly acid tolerance,higher amount of carotenoid of rhodopin and tolerance towards certain antibiotics,pesticide as well as heavy metals.国家自然科学基金(31070054);福建省自然科学基金(2010J01209);中国科学院城市环境与健康重点实验室基金(KLUEH201005)---

Study on Micro catalysis in LiFe Science Isolation of Polysaccharides and InFormation Catalysis

生命科学中的微催化作用研究多糖的提取和信息催化作用1廖代伟何苏雄林银钟陈鸿博陆健年黄遵楠黑美军曲榕（厦门大学化学系物理化学研究所固体表面物理化学国家重点实验室厦门361005）关于糖化学的现代研究进展，最近，郭忠武等［1］作了很好的综述.业已提出了细...The polysaccharides were isolated From lentinus edodes with quaternary amine salt precipitation method, alcohol separation method and calcium salt precipitation method, respectively.The three methods were compared with each other.It was indicated that the eFFect of carbohydrate, as one of the three most elementary liFe materials together with both protein and nucleic acid, is not only as a well known energy bank, but also, more signiFicantly, as an inFormation deliverer which can induce inFormation catalysis in micro environment of liFe process by its light atoms such as H, O, C, N, S, P and its small groups.国家自然科学基金;国家教委留学回国人员资

Power system abnormal data identification method

本发明涉及一种电力系统异常数据辨识方法，包括将电力系统正常数据作为训练样本，训练神经网络；将待检测数据输入训练后的神经网络，获得残差序列；基于仿射传播聚类算法对残差训练进行聚类；根据各个类别的特征和类内距离进行异常数据判断。本发明利用混沌粒子群算法来进行神经网络训练，同时采用仿射传播聚类算法来实现数据聚类，能够显著降低计算量，同时不依赖采样分布，有效地提高了电力系统异常数据辨识的准确性