Stimulation of locomotor activity of genetically obese mice by amphetamine

Zusammenfassung Die motorische Aktivität von genetish obesen (ob/ob) und diabetischen (db/db) Mäusen wurde durchd-Amphetamin stärker gesteigert als bei normalen Mäusen, wobei das Regulationszentrum für die motorische Aktivität intakt zu sein scheint.     

Structure of epsilon15 bacteriophage reveals genome organization and DNA packaging/injection apparatus

The critical viral components for packaging DNA, recognizing and binding to host cells, and injecting the condensed DNA into the host are organized at a single vertex of many icosahedral viruses. These component structures do not share icosahedral symmetry and cannot be resolved using a conventional icosahedral averaging method. Here we report the structure of the entire infectious Salmonella bacteriophage epsilon15 (ref. 1) determined from single-particle cryo-electron microscopy, without icosahedral averaging. This structure displays not only the icosahedral shell of 60 hexamers and 11 pentamers, but also the non-icosahedral components at one pentameric vertex. The densities at this vertex can be identified as the 12-subunit portal complex sandwiched between an internal cylindrical core and an external tail hub connecting to six projecting trimeric tailspikes. The viral genome is packed as coaxial coils in at least three outer layers with approximately 90 terminal nucleotides extending through the protein core and the portal complex and poised for injection. The shell protein from icosahedral reconstruction at higher resolution exhibits a similar fold to that of other double-stranded DNA viruses including herpesvirus, suggesting a common ancestor among these diverse viruses. The image reconstruction approach should be applicable to studying other biological nanomachines with components of mixed symmetries.     

高中学生心理压力和体育锻炼调适调查研究

通过对300名高中学生进行的问卷调查结果所做的分析,发现他们普遍存在心理压力的困扰.应全面识别引起高中学生心理压力的压力源,并且控制压力源,提高高中学生适应能力两方面来调适高中学生心理压力.通过比较分析可看出,经常参加体育运动的高中学生,其心理压力困扰的程度明显低于不经常参加者,研究认为,科学锻炼有助于提高高中学生身心健康.     

Entrepreneurship Measurement and Comparison: Holistic Acceptability Global Entrepreneurship Index

Journal of Systems Science and Complexity - The Global Entrepreneurship and Development Institute annually publishes the Global Entrepreneurship Index (GEI) to show entrepreneurship of each...     

含氧席夫碱-3d过渡金属配合物的研究(Ⅱ)——2,4-二羟基苯甲醛缩氨基脲及其Ni(Ⅱ)、Zn(Ⅱ)配合物的合成、表征及对超氧自由基抑制实验的研究

本文报导了2,4-二羟基苯甲醛缩氨基脲合Ni(Ⅱ)、Zn(Ⅱ)配合物的合成方法,化合物的化学组成以及配位状态由元素分析,红外光谱,紫外光谱确定。     

Applying particle swarm optimization and honey bee mating optimization in developing an intelligent market segmentation system

Data mining has been successfully applied in many fields to find useful information stored in vast databases.Market segmentation,which segments data into homogenous clusters by using cluster analysis,is among the most important of the applications in data mining.In this study,we propose a clustering system which integrates particle swarm optimization and honey bee mating optimization methods (PSHBMO).Simulations for a benchmark test function show that our proposed method is better equipped to find the global optimum than other well-known clustering algorithms.Finally,the proposed clustering system is applied to a real-world consumer electronic company to perform market segmentation via the RFM model.     

Bi-cubic B-spline fitting-based local volatility model with mean reversion process

This paper studies the traditional local volatility model and proposes: A novel local volatility model with mean-reversion process. The larger is the gap between local volatility and its mean level, the higher will be the rate at which local volatility will revert to the mean. Then, a B-spline method with proper knot control is applied to interpolate the local volatility matrix. The bi-cubic B-spline is used to recover the local volatility surface from this local volatility matrix. Finally, empirical tests show that the proposed mean-reversion local volatility model offers better prediction performance than the traditional local volatility model.