悬臂三角形板对称弯曲问题的配点解法

本文利用三角级数构造了悬臂三角形板对称弯曲的解函数，采用最小二乘配点法获得了集中荷载作用下的级数解，其结果与有限元法相比吻合较好。     

杂交水稻肥床塑盘旱育大苗抛栽的研究

作者在肥床的基础上进行水稻塑料软盘旱育苗抛秧试验，发现该方法可育成杂交稻大苗进行抛秧。所育苗有秧龄长、秧苗大、抗逆性强、立苗快等特点，抛秧工效则比其它形式大苗提高３～７倍，产量增１０％左右。该技术集旱育秧与软盘育苗抛秧优点于一身，并弥补了各自的不足，非常适于在晚茬、薄地和秧龄较长以及对杂交水稻生育期要求严格的地区应用。     

用于聚焦X射线的高分辨菲涅尔波带板的设计

提出了一种在制备工艺所限定的最小线宽不变的条件下扩展菲涅尔波带板尺寸的方法。该方法在普通波带板设计方法的基础上，在波带宽度小于最小加工尺度的区域采用合并奇数带的方法扩展波带宽度，从而获得较大尺度的扩展菲涅尔波带板(EFZP)。给出了有关设计公式和设计实例，并对这种新型波带板的聚焦性能进行了定量的计算机模拟。分析结果表明，这种扩展型菲涅尔波带板具有更高的分辨本领和能量利用率。对聚焦光斑的次极大也有较好的抑制能力。     

考虑横向正应力影响的高阶理论及其精化单元法

提出一种新的高阶理论,该理论满足层间位移、应力连续条件,其位移场只有５个未知数,同一阶剪切变形理论中位移函数的未知数一样多,由此建立了三角形精化板单元,该单元满足单元Ｃ＾１类弱连续条件,其收敛性得到保证,且具有列式简单,计算效率和精度高的优点。     

猪瘟病毒E2抗原在不同酶标板上包被效果的比较

为比较杆状病毒表达的猪瘟病毒(CSFV)E2抗原在不同酶标板上的包被效果,本研究应用2 Rg/mL的CSFV E2分别包被Nunc Maxisorp,Cosar StripWell和JET FEP-101-896 3种酶标板,以Flyer Liquid Plate Sealer(FLPS)进行封闭,通过比较猪瘟阳性血清的OD_450值,筛选包被性能最佳的酶标板.对FLPS、含10%FCS的PBST和含1 % BSA的PBST的封闭效果进行比较.并比较 FLPS在相同抗原条件下重复使用2次和3次对于CSFV阳性血清检测结果的影响.结果显示,在CSFV E_2抗原包被的3种酶标板上,CSFV阳性血清的OD_450nm,值均存在显著差异(p<0.05),其中以Cosar酶标板OD41,值最高;在Costar板上,3种封闭液间及FLPS重复使用对于CSFV阳性血清的检测结果无显著差异(p>0.05).     

高压齿轮泵过渡区阻尼结构参数化

通过研究过渡区压力变化与侧板阻尼结构之间的关系,提出浮动侧板阻尼结构的参数化研究方法.以某高压齿轮泵为模型,对齿轮泵过渡区流场进行解析,并基于响应面方法建立过渡区压力变化的近似模型,在保证齿轮泵容积效率的前提下,以降低侧板过渡区突变为优化目标,对侧板高压油槽阻尼结构进行优化设计,结果表明过渡区压力突变由10.162 MPa降至3.670 MPa.     

偶联剂对石墨/酚醛树脂复合双极板性能的影响

针对石墨/酚醛树脂复合双极板存在的强度低、脆性大等问题,采用偶联剂改性方法来增强复合双极板的界面结合,提高其抗弯强度.研究了偶联剂的种类、添加方式及用量对石墨/酚醛树脂复合材料双极板力学性能和电学性能的影响.结果表明：采用石墨改性法可提高石墨/酚醛树脂复合双极板的抗弯强度,但导电性能有所降低;而采用树脂改性法制备的石墨/树脂复合双极板同时具有较高的电学和力学性能.因此树脂改性法更适合制备复合双极板.当偶联剂质量分数均为0.7%,采用树脂改性法分别以硅烷偶联剂和钛酸酯偶联剂改性时,石墨/树脂复合材料双极板抗弯强度和电导率分别为33.3 MPa,70.3 S·cm-1和32.1 MPa,73.8 S·cm-1,均满足燃料电池用石墨/酚醛树脂复合双极板的技术要求.     

高管薪酬与公司业绩实证研究——以中小企业板上市公司为例

选取2009年前上市的235家中小企业板上市公司2013年的年报数据，实证检验高管薪酬与公司业绩之间的相关性。结果表明：中小企业板上市公司高管薪酬与公司业绩、公司规模存在显著正相关关系，高管薪酬与资本结构之间存在显著负相关关系。     

Methodology for classification of images based on the characteristics of a new interpretation of Shannon’s entropy

A new visual inspection method for the classification of wooden plates used in pencil manufacturing is presented. Darker regions in wooden plates indicate the presence of growth rings which are regions of hard wood. Pencils manufactured with these plates are more difficult to sharpen and have a tendency to bend and crack; therefore, these plates are classified as not being adequate for pencil manufacturing. The proposed method is based on the extraction and analysis of the features of the wooden plates using gray level images. The method classifies the plates using the results obtained by an automatic threshold determination based on Shannons entropy. The method was idealized aiming at low computational complexity, i.e., algorithm calculations involving only simple operations such as addition, subtraction, multiplication and division which could be implemented in hardware using VLSI technology or programmable logic devices. The wooden plate is mapped in an optimal number of regions; each region is pre-classified considering some relevant features based on the entropy gray level distribution of the pixels. Information from all regions is combined based on heuristic decision rules, arriving in a pre-classification stage where the regions are labeled in four classes (A, B, C and X). Two decision algorithms have been investigated for the final classification: one based in a co-occurrence matrix considering only a uni-directional horizontal neighborhood of the regions and the second is based on a heuristic method of information reduction considering combinations of the pre-classified regions. The final results obtained by the two algorithms were compared with the classification made by a human expert, demonstrating that the proposed method had very good performance.