Surgical repair of skull fractures in four horses using cuttable bone plates.

Three horses with severely comminuted, open facial bone fractures and one horse with a comminuted, open orbital rim fracture were referred for treatment. Severe facial bone asymmetry and epistaxis were apparent in all cases and subcutaneous emphysema was present in two, however physical and neurological examinations were otherwise normal. Radiography and endoscopy were of some use in assessing the degree of damage, although the true extent of the damage was more apparent at surgery. Surgical reduction of the fractures was recommended to maximise cosmetic and functional outcome. After surgical debridement and reduction of the fractures the bone fragments remained unstable and were not amenable to stabilisation with interfragmentary wires alone, so 2 mm cuttable bone plates were used to maintain fracture alignment. Screw migration occurred in three horses and in one of these horses the plate had to be removed. Other complications were minor and in all horses the fractures healed with good cosmetic and functional outcome. The use of cuttable bone plates should be considered as a reasonable alternative to inter-fragmentary wiring for unstable, comminuted fractures of the facial bones, even where fractures are open.     

木瓜剖分原理研究及新机型设计

针对我国目前对木瓜剖半设备研究较少,剖切方式不合理,切割效果差等问题,设计开发了新型木瓜剖半机。该机切割方式选用滑切切割的方式,由运料系统、切割系统、出料系统组成,设计合理,结构简单。为此,计算了滑切角、切割角等主要切割参数,并给出了新型剖半机的主要技术参数。试验表明:该机切割效果好,能够有效提高生产效率。     

粮食烘干塔换热器智能折边设备研发

结合螺旋板式换热器的应用领域及其板材折边生产现状,分析了其生产弊端。针对板材折边工艺要求,研发了粮食烘干塔换热器智能折边设备,并剖析其工作机理。根据典型产品结构参数,设计智能折边装备总体装配图并计算主要零件参数,为智能折边装备制作提供理论依据,从而实现换热器板材折边智能加工,提高换热器卷板折边质量及精度。     

苗盘烟雾消毒方法对烤烟苗盘处理效果研究

为了验证苗盘烟雾消毒方法对烤烟苗盘的处理效果和安全性,试验设计了常规高锰酸钾消毒和苗盘烟雾消毒2种方法,结果表明:苗盘烟雾消毒方法省工省时,药剂用量和耗水量少,对烤烟苗盘有着较好的消毒效果,且对烟苗生长没有负面作用。     

改进RBF神经网络在我国大豆价格预测中的应用研究

我国大豆价格受国内外多种因素共同影响,具有非线性、随机性和高噪音等特点,采用传统数学模型进行预测,不仅分析难度大,预测误差也很大。RBF神经网络以其优良的逼近性能而被广泛应用于非线性时间序列预测之中。本文提出一种基于遗传算法优化RBF神经网络的我国大豆价格预测模型,该模型为多维输入单维输出的多变量预测模型,模型的初始输入由大豆价格的历史数据和相关影响因素数据组成。采用遗传算法对RBF神经网络输入层节点数、基函数中心、扩展常数和输出层权值进行优化,模型可以从初始输入变量中自主选择最合适的输入变量组合作为模型的输入。采用2009-2014年的大豆价格数据进行预测研究,用2009-2013年的数据作为训练集,2014年的数据作为测试集,改进RBF神经网络通过自主识别和选取中国大豆进口量、中国消费者信心指数和进口大豆到港分销价格3个因素作为相关影响因素的输入。结果表明:模型预测精度较高、泛化能力较强,能够很好捕捉大豆价格变化规律,可为大豆市场价格的准确预报提供参考借鉴。     

基于径向基神经网络的非寿险公司财务预警研究

选取我国保险行业中40家非寿险公司2006~2008年的混合非平衡面板数据作为研究样本，采用径向基神经网络模型从偿付能力、盈利能力、成长能力三个角度对非寿险公司财务预警进行研究。实证表明，此模型可以为管理层的财务预警提供更有有效的信息，并且在我国保险业具有样本量小，有效数据少的情况下，有着良好的运用前景。     

基于卷积神经网络马铃薯叶片病害识别和病斑检测*

针对自然环境下马铃薯叶片病害识别率低和晚疫病斑定位难的问题,基于大田环境中采集的马铃薯叶片图像,首先对马铃薯叶片病害进行识别,对比AlexNet、VGG16、InceptionV3、ResNet50、MobileNet五种神经网络模型,结果表明InceptionV3模型的识别效果准确率最高,可达98.00%。其次对马铃薯叶片的晚疫病斑进行检测,提出一种改进型的CenterNet-SPP模型,该模型通过特征提取网络获取对象的中心点,再通过中心点回归获得中心点偏移量、目标大小等图像信息,训练后的模型在验证集下的mAP可达90.03%,以F₁为评价值分析对比其它目标检测模型,CenterNet-SPP模型的效果最好,准确率为94.93%,召回率为90.34%,F₁值为92.58%,平均检测一张图像耗时0.10 s。为自然环境下马铃薯叶片病害识别和检测提供较为全面的深度学习算法和模型研究基础。     

Temporal and spatioal effects of enriched miRNAs in brain and possible role in neural tube defects

MicroRNAs (miRNAs) are known to play an important role in regulating the cell proliferation, differentiation and organogenesis. Abnormal expression of miRNAs is associated with increased risk for various diseases, such as neural tube defects (NTD), which is a severe developmental disease as the result of closing the neural tube incompletely or too early. The present review summarizes some enriched miRNAs in the brain of mammals and their spatial temporal feature, and tries to elaborate the relationship between the aberrant expression of miRNAs and the pathogenesis of NTD.     

基于ANSYS的永磁电机转子冲片结构的优化设计

运用ANSYS的优化设计模块对永磁电机转子冲片隔磁桥附近的结构进行优化设计,采用APDL参数化设计通过拓扑形状优化功能确定冲片优化的初始区域,在此基础上运用尺寸优化功能确定最优的形状尺寸参数,最终结合工程化要求确定转子冲片的施工结构尺寸。电机最后通过最高转速试验表明文章运用的结构优化设计方法切实可行,满足工程化生产要求。