甘肃产马先蒿属植物分种检索表

本文对甘肃产马先蒿属５２种、７亚种、６变种和１变型列了分种检索表，并在括号内记载了产地，为开发该属资源提供依据。     

蔸兰立枯病原菌及颉抗菌防治的研究

本文对１３种蔸兰，２４９个发病器官进行了病原真菌的分离，共获得真菌菌株１９２个，其中立枯丝核菌（Ｒｈｉｚｏｃｌｏｎｉａｓｏｌａｎｉｋｕｈｎ）有１１８个菌株，占整个真菌菌株的６１．４５％，用分离的立枯丝核菌ＹＫ－２６２，菌株对同色蔸兰等４种蔸兰进行了回接试验，共接４２株１３８片叶，发病叶１１２片，发病率平均８８．９％，而对照为８．３％．证明立枯丝核菌是该病的病原菌。用菌丝融合法测试，确定是一个新的菌丝融合群，按国际编号定为ＺＡＧ－８群。绿色木霉菌７８菌株对该病原菌有明显的颉抗作用，初步测定对同色蔸兰立枯丝核菌的防治有效率为８８．８％～９３．３％；对长瓣蔸兰为７７．８％～８１．１％；对带叶蔸兰为７４％．     

HPMBP和N_(503)协萃钯(Ⅱ)的研究

研究螫合萃取剂1—苯基—3—甲基—4—苯甲酰吡唑酮—5(HPMBP)与酰胺型革取剂N_(503)氯仿溶液从硝酸介质中协萃钯(Ⅱ)的热力学行为。在30℃、pH=1.70条件下,萃取剂浓度与分配比的关系式可表达为lgD′=2.948lg[HPMBP]_((o)) 6.645,lgD″=0.9809lg[N_(503).HNO_3]_((0)) 2.796。温度与分配比的关系表达为lgD=424.923/T-0.3088。测得协革平衡常数k=34.67,焓变△H=-8.316kJ.mol~(-1),自由能变△G=-8.932kJ.mol~(-1)和熵变△S=2.036J.mol~(-1).K~(-1).     

频率合成式无线语音传送系统的研究

本文介绍的是一种无线语音传送系统，它是由两部分构成的，发射部分和接收机部分．发射部分采用最先进的频率合成技术，发射频率稳定．最适合大教室教学场合应用。     

三价钕与绕丹宁（RACP）及其衍生物二元体系配合物的电位滴定法研究

本文运用电位滴定法与ＴＩＴＦＩＴ程序研究了２９８Ｋ下，三价钕与新型荧光试剂配合物的稳定性，并得出其相应的络合常数。     

Technical Notes ：STUDIES ON THE VALUE OF SECONDARY MARKET TO THE SUPPLY CHAIN

This paper investigates the impact of a secondary market, where retailers can buy and sell excessinventories, on the supply chain. We develop a two-period model with a single manufacturer and tworetailers. At the beginning of the first period the retailers order and receive products from themanufacturer, but at the beginning of the second period, they can trade surplus products betweenthemselves in the secondary market. We investigate the impact of the correlated dependence ofretailers' demand on both the quantity effect and the allocation effect under the secondary market.Lastly,we study potential strategies for the manufacturer to increase sales with the existence of thesecondary market.     

浮动齿轮张紧装置工作原理

本文论述了浮动齿轮张紧装置能够对带传动自动提供张紧力的工作原理,导出了由重力和驱动力矩对带传动提供的张紧力计算式,并指出张紧力的变化范围是(-∞,∞),它具有随外载荷变化而自行调节的性能,能较好地满足带传动的工作要求。最后简述了装置满足张紧条件时的设计计算。     

椭圆周上的一类新的双正交级数

研究了椭圆周上一类新的双正交级数，给出了它的部分和与其诱导函数的Ｆｏｕｒｉｅｒ三角级数的部分和之间偏差的精确的渐近表达式．     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.