厦门市城市空间结构分布的自组织特征

基于地理信息系统空间分析模块,对2002年TM遥感图像的综合分析,以及对厦门市地质地貌、植被、城镇分布和社会经济文化的充分研究,指出了厦门市生态空间结构的自组织特征,厦门市由海岛型城市向海湾型城市演进过程中所遵循的自组织规律及城市规划方向.     

五参胶囊镇静催眠作用及其机制的实验研究

目的观察五参胶囊(Wu Shen Capsules,WSh C)对小鼠镇静催眠作用的影响,并探讨其作用机制.方法将ICR小鼠随机分为对照组、五参胶囊高剂量组、中剂量组和低剂量组.五参胶囊高剂量组用药量为200 mg/(kg·d~(-1)),中剂量组用药量为100 mg/(kg·d~(-1)),低剂量组用药量为50 mg/(kg·d~(-1)),给药时间为15 d,于给药结束后进行小鼠自主活动实验和协同戊巴比妥钠阈上剂量睡眠时间实验,测定5 min内各组小鼠的活动次数和站立次数,记录各组小鼠的睡眠潜伏期和睡眠持续时间.采用酶联免疫吸附法检测小鼠下丘脑5-羟色胺(5-Hydroxytryptamine,5-HT)、5-羟吲哚乙酸(5-Hydroxyindole acetic acid,5-HIAA)、γ-氨基丁酸(γ-aminobutyric acid,GABA)、谷氨酸(glutamine,Glu)含量,并计算5-HIAA/5-HT比值及Glu/GABA比值.结果与对照组比较,WSh C各给药组小鼠活动次数减少,睡眠潜伏期缩短,睡眠持续时间延长(P0.01),WSh C能升高小鼠下丘脑5-HIAA含量和5-HIAA/5-HT比值,降低Glu含量和Glu/GABA比值.结论 WSh C具有明显镇静催眠作用,其机制可能与调节中枢兴奋性和抑制性神经递质有关.     

双参数形变谐振子的相干态及其完备性

本文给出了ｑｓ－微分和ｑｓ－积分的定义，并利用这些概念给出了双参数形变谐振子相干态完备性的直接证明。     

超立方体的3－独立集及其在神经联想存储器中的应用

用Ｉ３（ｎ）表示ｎ－立方体Ｑｎ的３－独立数。提出了构造Ｑｎ的３－独立集的一个算法，证明了２ｎ－［ｌｏｇ２ｎ］－１≤Ｉ３（ｎ）≤［２ｎ／（ｎ＋１）］．这些结果被应用于神经联想存储器的设计．     

磁场影响固定化葡萄糖异构酶活性的研究

采用丹麦Novo公司测固定化葡萄糖异构酶 (SweetzymeT)活力的反应体系 ,用半胱氨酸 -咔唑法评价酶的活性 ,研究了磁场在不同条件下对酶活力的影响。实验发现 :在不同磁化时间、温度、磁场强度和pH条件下磁化底物 ,使其活性增加可达 2 8 6 % ,并且具有可逆性 ,但磁化固定化酶或磁场作用于酶—底物反应体系 ,未见酶活力的明显变化。     

贵州苦丁茶黄酮研究

对贵州５种主要苦丁茶植物中黄酮类化合物进行了薄板层析研究,用ＨＰＬＣ对黄酮醇类进行了定量,与银杏叶进行了对比。分析结果表明：贵州主要苦丁茶植物中黄酮含量丰富：一些种的黄酮甙元含量和银杏叶相当。这表明,苦丁茶是一类有开发前景的药用植物。     

Simulation of maximum light use efficiency for some typical vegetation types in China

MAXIMUM LIGHT USE EFFICIENCY(ΕMAX)IS THE USE RATE OF PHOTOSYNTHETICALLY ACTIVE RADIATION BY VEGETATION IN AN IDEAL CONDITION WITHOUT ANY CONSTRAINTS.IT IS A PHYSIOLOGICAL ATTRIBUTE OF PLANT ITSELF.THE VALUE OFΕMAX IS DIFFERENT FOR DIFFERENT VEGETATION TYPES[1―5].IT IS A KEY PARAMETER FOR THE ESTIMATION OF NET PRIMARY PRODUCTIVITY(NPP)DRIVEN WITH REMOTE SENSING DATA.THERE…     

基于格型矢量量化的小波零树图像编码方法

把格矢量量化与小波零树编码相结合,提出了一种小波矢量零树图像编码新方法,其性能优于已报道的格型矢量量化小波图像编码方法和最成功的小波零树图像编码方法,而且其复杂度远低于已报道的格型矢量量化小波图像编码方法。实验结果证实了方法的有效性。     

Reliable and Energy Efficient Target Coverage for Wireless Sensor Networks

A critical aspect of applications with Wireless Sensor Networks (WSNs) is network lifetime.Power-constrained WSNs are usable as long as they can communicate sense data to a processing node.Poor communication links and hazardous environments make the WSNs unreliable.Existing schemes assume that the state of a sensor covering targets is binary:success (covers the targets) or failure (cannot cover the targets).However,in real WSNs,a sensor covers targets with a certain probability.To improve WSNs’ reliability,we should consider that a sensor covers targets with users’ satisfied probability.To solve this problem,this paper first introduces a failure probability into the target coverage problem to improve and control the system reliability.Furthermore,we model the solution as the α-Reliable Maximum Sensor Covers (α-RMSC) problem and design a heuristic greedy algorithm that efficiently computes the maximal number of α-Reliable sensor covers.To efficiently extend the WSNs lifetime with users’ pre-defined failure probability requirements,only the sensors from the current active sensor cover are responsible for monitoring all targets,while all other sensors are in a low-energy sleep mode.Simulation results validate the performance of this algorithm,in which users can precisely control the system reliability without sacrificing much energy consumption.