Excitatory effect of histamine on neuronal activity of rat cerebellar fastigial nucleus Jn vitro

The cerebellar fastigial nucleus （FN） holds an important role in motor control and body balance. Previous studies have revealed that the nucleus is innervated by direct hypothalamocerebellar hletaminergic fibers. However, the functional role of histaminergic projection in cerebellar FN has never been established. In this study, we investigated the effect of histamine on neuronal firing of cerebellar FN by using slice preparations. Sixty-five FN cells were recorded from 47 cerebellar slices, and a vast majority of the cells responded to histamine stimulation with an excitatory response （58/65, 89.2%）. Perfusing slices with low-Ca^2＋/high-Mg^2＋ medium did not block the histamine-induced excitation （n=10）, supporting a direct postsynaptic action of histamine on the cells. Furthermore, the excitatory effect of histamine on FN neurons was not blocked by selective histamine H1 receptor antagonist triprolidine （n=15） or chlorpheniramine （n=10）, but was effectively suppressed by ranitidine （n=15）, a highly selective histamine H2 receptor antagonist. On the other hand, highly selective histamine H2 receptor agonist dimaprit （n=20） instead of histamine HI receptor agonist 2-pyridylethylamine （n=16） mimicked the excitatory effect of histamine on FN neurons. The dimaprit-induced FN neuronal excitation was effectively antagonized by selective histamine H2 receptor antagonist ranitidine （n=13） but not influenced by selective histamine H1 receptor antagonist triprolidine （n=15）. These results demonstrate that histamine excites cerebellar FN cells via the histamine H2 receptor mechanism and suggest that the hypothalamocerebellar histaminergic fibers may modulate cerebellar FN-mediated sensorimotor integration through their excitatory innervations on FN neurons.     

Analysis of Petri net model and task planning heuristic algorithms for product reconfiguration

Reconfiguration planning is recognized as an important factor for reducing the cost of manufacturing reconfigurable products, and the associated main task is to generate a set of optimal or near-optimal reconfiguration sequences using some effect algorithms. A method is developed to generate a Petri net as the reconfiguration tree to represent two-state-transit of product, which solved the representation problem of reconfiguring interfaces replacement. Relating with this method, two heuristic algorithms are proposed to generate task sequences which considering economics to search reconfiguration paths effectively. At last, an objective evaluation is applied to compare these two heuristic algorithms to other ones. The developed reconfiguration task planning heuristic algorithms can generate better strategies and plans for reconfiguration. The research finds are exemplified with struts reconfiguration of reconfigurable parallel kinematics machine （RPKM）.     

一类装配式流水作业排序问题的启发式算法及其性能比研究

根据Ｆ′２｜ｍ１≥２，ｍ２＝１｜Ｃｍａｘ排序问题是ＮＰ完全问题的论断，提出了ＡＦＳ问题的两个启发式算法，分别给出了应用启发式算法的实例，并证明了该启发式算法在最坏情况下的品性是２的结论     

注重能力培养创新教学方法：改进会计实务教学的几点思考

市场经济条件下，会计实务教学应体现先进性、实用性和高效性，大力提倡启发式教学，建立统计模拟实习考核体系，促进实践性教学由“弹缍”变“刚性”。     

液相色谱智能化——多段梯度洗脱满意分离条件之启发式自动搜索

本文为高性能液相色谱作定量分析,提供一种新颍方法,自动求得峰形分离良好的色谱图,并由此对于仪表之智能化前景作一展望。利用多段梯度洗脱法来改进分离,会引起搜索该条件之复杂化。为此,启发微机来搜索满意的分离条件,而不去搜索最优分离条件,较为合理而且方便。用本法分析人体血液中21种主要氨基酸组分,获得成功。     

分装式流水作业加工模型的算法研究

分装式流水作业加工模型是从生产实践中提炼出来的一种新的加工模型,是流水作业与复合并行机加工方式的组合.在已证明该问题一般情况下是NP-完全问题,没有多项式算法的基础上,进一步研究了TMF排序问题在特殊情况下的多项式时间算法和一般情况下的启发式算法.     

启发式搜索的一种新技术─SA算法

在一定的假设下，可把启发式搜索看作一种随机取样的过程。从而把统计推断方法引进搜索。根据上述思想．把Ｗａｌｄ序贯概率比检验方法与Ａ（Ａ＊）搜索结合，得到一种新算法──ＳＡ算法。文中讨论了该算法的优点及细节。最后通过一个实例说明算法的原理。     

Multilocation Inventory Models and their Heuristic Algorithm

1　IntroductionTheprimecharacteristicsofmultilocationinventorymodelsinthispaperareasfollows:Atthebeginningofatimeperiod,asourcedistributionproducesalllocations.Afterinitialdistribution,theproductscanstillbemovedamonglocationswithinthetimeperiodprovidedpaymentofshippingexpenseismade.Themodelisconcernedwithhowtodeterminetheinitialorderquantityandtheredistributionschemesoastomaximizetotalprofit.Themodelismotivatedbyarealexample.AchemicalcompanyprovidedanumberofCountieswithpesticides.Thecompanyn…     

多技能呼叫中心排班算法研究

对多技能呼叫中心的排班问题进行了系统研究.采用考虑顾客放弃的Erlan争A模型计算人力需求,应用动态集合覆盖算法解决多技能排班路由问题,针对多技能优化排班问题设计开发相应的启发式算法,并应用某呼叫中心的实际数据验证了算法的计算效率和优化效果.此外,对不同人力分组方案和不同班时拆分方案进行了一系列试验计算,发现分组细化和班时细分都能够提升排班效果,相比而言班时拆分对排班效果的影响作用更加显著.