草栖钝绥螨对二斑叶螨的捕食作用

为明确草栖钝绥螨Amblyseius herbicolus对二斑叶螨Tetranychus urticae的控制潜能,在温度分别为19、22、25、28和31℃、相对湿度均为（85±5）%、光周期均为16 L∶8 D条件下测定草栖钝绥螨对二斑叶螨各螨态的捕食偏好性、捕食功能反应及自身干扰反应。结果表明,草栖钝绥螨对二斑叶螨幼螨和第1若螨具有嗜食性,对其捕食选择系数分别为2.22和1.27,均大于1.00,对二斑叶螨卵、第2若螨和雌成螨捕食选择系数分别为0.61、0.68和0.22,均小于1.00。在不同温度条件下,草栖钝绥螨对二斑叶螨各螨态的捕食功能反应均符合HollingⅡ型;在19～31℃范围内,草栖钝绥螨对二斑叶螨各螨态的瞬时攻击率、最大日捕食量和捕食能力均随着温度升高呈先升高后降低的趋势,在28℃时达到最大值;而草栖钝绥螨对二斑叶螨各螨态的处理时间随着温度升高呈先缩短后延迟的趋势,在28℃下处理时间最短。在相同温度下,草栖钝绥螨对二斑叶螨卵、幼螨和第1若螨的捕食作用较强。在有限的捕食空间和二斑叶螨密度固定的条件下,草栖钝绥螨单头捕食量和捕食作用率随其自身密度的增加而逐渐下降,说...     

引起犊牛腹泻的病原及其检测方法

犊牛腹泻是牛养殖业中常见的一种世界性疾病,对牛养殖业危害较大。多种因素可导致犊牛腹泻,其中由细菌、病毒、寄生虫导致的腹泻具有较强传染性。犊牛传染性腹泻发病迅速,极易引起死亡,因此快速诊断对于及早确认病因,及时进行针对性治疗,降低死亡率至关重要。为全面了解及准确鉴定引起犊牛腹泻的病原,概述了引发犊牛腹泻的病原种类、病原特征、致病机理、引发症状及其检测方法,以期为临床防治犊牛传染性腹泻提供参考。     

Multiple Layer BP Neural Network for Fuzzy Calculating

The FCBP(Fuzzy calculating BP) algorithm which is proposed by this paper hasovercome the sensitivity for samples,reduced the number of input layer's samples,lightened the burden of input layer.it is suitable to fuzzy inference and pattern recognition.     

Experimental Study on the Extended Length of Negative Reinforcement Cut-in Phases in Continuous Beams

In this paper through the static loading tests of 6 inflexion zones and 2 cantilever zones in full-size constrained R/C beams, the stress performance in rebars cut-in-phases and subjected to negative moment is studied. The stress properties of extended length of rebars with different shear-span ratiosare analysed on basis of the full measurement of strain distributions combined with the investigation on state and regularity of the diagonal cracks development and series of new knowledge are obtained. It is found that current Concrete Design Code provisions on the extended length are inadequate for the high shear-span ratio and superfluous for the low shear-span ratio. The theoretical and experimental foundations are provided for determining proper value of extended length for rebars cut-in-phases.     

The Software Implementation of Neural Network Fuzzy Inference Cooperation System

This poper sets up a new Neural Network Fuzzy inference Cooperation system which is based on fuzzy inference principle in Expert Systems,take advantage of the powerful learning function, the little sensitivity to input layer's samples,and the fast convergence and so on in FCBP and take advantage of the good sort property and good suit property to fuzzy value in MFART Network.     

EXISTENCE OF A BASIC OPTIMAL SOLUTION FOR LINEAR VECTOR EXTREME VALUE PROBBEM

In this paper, the concept of basic for linear vector extreme value problem is introduced in the partially ordered vector space. Some properties and results of the linear programming are generalized. And the existaence therom of basic optimal solution is proved.     

超级稻“三定”栽培法研究 Ⅱ.不同施肥量对超级杂交稻产量及生长生理特性的影响

2004—2005年在长沙（28°13′N）采用低肥（N 135kg/hm2、P 29.7kg/hm2、K 112.1kg/hm2）、中肥（N 180kg/hm2、P 39.6kg/hm2、K 149.4kg/hm2）、高肥（N 225kg/hm2、P 49.5kg/hm2、K 186.8kg/hm2）3种施肥水平，对超级杂交稻两优293和准两优527的产量及生长生理特性进行了比较研究。结果表明：在试验范围内不同施肥量处理间超级稻产量及有效穗、每穗粒数、结实率等产量构成差异不显著，2年平均产量以中肥处理最高，其中准两优527为9.03t/hm2，两优293为7.28t/hm2；不同年际间超级稻产量及有效穗、每穗粒数、结实率等产量构成差异显著；超级杂交稻准两优527和两优293的适宜氮肥用量为150~180kg/hm2。与准两优527比较，两优293茎秆粗壮，根系发达、根系活力强、分蘖力强、但分蘖成穗率不高，而准两优527前中期生长平稳，分蘖成穗率高，抽穗后光合产物积累多和运转率高，有利于高产形成，但不抗倒伏，生产上应适量减少氮肥施用量。     

The Method of Diagnosing Brain-dysfunction Based on Membership Function and BP Neural Network

Membership functions.formed with the characteristic values obtained by applying the continuous reaction time (CRT) theory from controls and heptic encephalopthy and proposedin this paper.whith these membership functions,the CRT data to be diagnosed are calculated in advance,and then discriminated by BP meural network to differentiate patients with or without braindysfunction.The troubles of low accuracy and efficiency,encountered in training BP network withfuzzy samples.scattered data and extended samples,are solved.