Isolation and purification of BVⅠ-2H from bee venom and analysis of its biological action

The medical use of bee venom for rheumatoid arthritis ( RA ) has a very long tradition. In this study, isolation and purification of polypeptides from bee venom were carried out on sephadex chromatography, heparin sepharose CL-6B chromatography and HPLC. Several fractions were extracted, and their effects on activation of splenocyte and THP-1 cell were studied. The inhibitory fraction was selected for further studies. Finally, BVⅠ-2H that the HPLC elution profiles was a single peak was isolated by C8 column. ESI- MS detection results showed that BVⅠ-2H was a fraction of bee venom, and the molecular weight of the major component was 644.8. BVⅠ-2H could inhibit ConA-induced splenocyte proliferation, IL-1 production and interfere with splenocyte cycle in mice. Moreover, BVⅠ-2H could inhibit PMA-induced TNFα production in THP-1 cells, which was due to its inhibitory effects on TNFα mRNA expression and protein phosphorylation of IκBα. Our studies indicated that BVⅠ-2H was one of the anti-inflammatory components of bee venom.     

Mitochondrial DNA evidence for the 19th century introduction of African honey bees into the United States

Since the introduction of an African subspecies into Brazil in the mid-1950's¹, descendent Africanized honey bees (Apis mellifera L.) have spread throughout the Neotropics and into temperate North America. Restriction enzyme analysis of 422 feral honey bee colonies collected from non-Africanized areas in the southern United States revealed that over 21% of them had mitochondrial DNA (mtDNA) derived from a European race established in North America by the 17th century, 77% of them had mtDNA common in honey bees maintained by beekeepers and about 1% exhibited African mtDNA. Further analysis revealed that the African mtDNA was derived from a north African subspecies imported to the US in the 19th century.     

番薯蜂花粉营养成分研究

分析测定了番薯蜂花粉的营养成分，结果表明：蛋白质含量为２３．２７５％；可溶性糖的含量明显高于其他花粉，其中果糖１０．４８％，葡萄糖６．７５％，蔗糖６．４７％，麦芽糖７．５３％，在测定的７种脂肪酸中，亚油酸相对含量最高，ＰＵＦＡ／ＳＦ比值为２．１０４。３种测出的黄酮类化合物含量分别为：芦丁（３３．２３ｍｇ／１００ｇ），桑色素（１８．２４ｍｇ／１０ｇ），坎菲醇（１１．３７ｍｇ／１００ｇ）。蛋白质氨基酸     

用开关电容实现Hopfield网络的一种新方法

提出了利用开关电容网络实现连续的Ｈｏｐｆｉｅｌｄ神经网络的一种新方法，它便于单片集成，实现的网络结构具有对寄生参数不灵敏的优点     

贝叶斯预测蜂群算法在无线传感器网络优化中的应用

针对无线传感器网络(WSN,wireless sensor network)节点分布不合理,存在较多的监测盲区等不足,提出了利用贝叶斯预测人工蜂群算法(BPABC,Bayesian predictive artificial bee colony algorithm)制定节点分布方案。BPABC算法借鉴贝叶斯预测算法的思想对蜂群算法中各蜜源存在最优解的概率进行预测,并以此为依据指导跟随蜂寻优工作。采用BPABC算法对WSN中的节点分布进行优化,与人工蜂群算法、全局人工蜂群算法制定的优化方案进行比较。结果表明,BPABC在平均覆盖率、最差覆盖率等方面均优于其他两种算法,并且BPABC算法在迭代收敛速度方面也有明显的优势。为了进一步验证改进算法的实用性,采用BPABC制定不同监测区域的WSN节点分布方案。WSN的覆盖率均在97%左右,并且标准差不超过0.005%。由此可见,基于BPABC的WSN节点分布优化方案具有较高的覆盖率、良好的适应性和稳定性。     

Is the occluded corolla of Antirrhinum bee-specialized?

This paper provides the first results of pollinator fauna associated to the reproductive biology of Antirrhinum charidemi, Antirrhinum graniticum and Antirrhinum braun-blanquetii. Censuses of over 16 hours spanning the flowering phenology of each species were drawn up. As previously hypothesized, the characteristic occluded (personate) corolla of Antirrhinum was exclusively pollinated by bees, but by a higher number (four) of bee families than predicted. Seven bee species (Bombus hortorum, Anthidium manicatum, Chalicodoma lefebvrei, Anthidium sticticum, Anthophora dispar, Xylocopa violacea and Anthidium cingulatum) account for over 90% of flower visits (2098). The flower visitation index varied between species (0.0126?0.0320), reaching relatively medium values compared to Mediterranean plants. In contrast, reproductive success was found to be high when estimated as both fruit (45.4–84.2%) and seed (75.4–98.4%) sets, suggesting that these bee guilds are effective pollinators of the three self-incompatible Antirrhinum species. Specialization of the personate flower of Antirrhinum is therefore interpreted for bees with both large bodies and high visitation indices.     

人工蜂群算法及其应用

为促进人工蜂群算法理论和应用的发展, 在分析人工蜂群算法的基本原理基础上, 针对算法的不足, 全面地归纳了国内外学者对算法的改进研究, 对算法的蜜源初始化、更新策略的改进、调整策略的改进、适应度函数的选择以及与其他算法的融合进行综述, 提出了更有效的改进策略。同时从多方面综述了人工蜂群算法的应用, 并对人工蜂群算法的发展方向进行了总结和展望。     

数据中心启发式反向人工蜂群虚拟机整合节能策略

针对数据密集型作业的特点,提出一个基于CPU和图形处理器(GPU)两个影响因素构建计算节点的能耗评估模型.该模型基于原虚拟机选择节能算法(ABCS)在虚拟机选择节能策略中的能效优势,进一步利用启发式思想改进蜂群优化算法,寻求虚拟机整合的最优解.在CloudSim 3.0云计算模拟器中的实验结果表明,启发式反向蜂群算法能在保证服务质量的前提下,有效降低虚拟机迁移次数,进而降低数据中心的能耗(节能25%~30%).     

趋药性人工蜂群算法训练神经网络研究

本文设计了一种复合人工蜂群算法,将细菌觅食优化算法中的趋药性行为引入到人工蜂群算法中,使得引领蜂和观察蜂进行局部探查时像细菌觅食时那样翻转到有利的方向上进行游动;另一方面,让蜜蜂尝试在所有维度产生扰动并择优选择,这两种策略大大增强了人工蜂群算法的局部探查能力.将此算法应用于训练人工神经网络,实验表明改进后的算法性能比人...