基于神经网络的并联机构方位特征集自动分析算法

基于方位特征集理论（Position and Orientation Characteristic,POC）,揭示并联机构拓扑结构分析的理论内涵,建立基于神经网络的并联机构拓扑结构描述方法,提出一种基于神经网络的并联机构拓扑结构自动分析算法。详细说明了并联机构POC集神经网络模型以及模型中对应的6种算法规则,并给出该方法的主要步骤及实例分析。首先,通过对并联机构拓扑结构分析的理论分析,归纳出其本质;其次,基于神经网络理论基础,对并联机构拓扑结构描述数字化表达;此外,通过分析并联机构POC集自动分析的本质内涵,建立并联机构POC集神经网络模型以及提出6种模型算法规则。最后通过实例分析证明了并联机构POC集自动分析算法的正确性和有效性

Detecting macrophage migration inhibitory factor in tissues of Larimichthys crocea with Cryptocaryon irritans disease

由刺激隐核虫(CryPTOCAryOn IrrITAnS)感染引发的“白点病“为大黄鱼(lArIMICHTHyS CrOCEA)养殖业带来重大损失,但仍未找到安全、有效的治疗方法。本研究应用免疫组织化学方法,对健康大黄鱼和患刺激隐核虫病大黄鱼肠、脾、头肾与肝组织中巨噬细胞移动抑制因子(MACrOPHAgE MIgrATIOn InHIbITOry fACTOr,MIf)蛋白进行检测,研究刺激隐核虫病大黄鱼组织中MIf的表达情况及其对预后的影响。结果表明,MIf在健康大黄鱼肠、脾、头肾、肝各组织中均无表达;MIf在刺激隐核虫病大黄鱼各组织中高表达,表达强度从弱到强依次是肠、肝、脾、头肾,MIf表达阳性率分别为54%、80%、86%、90%。推测MIf在大黄鱼刺激隐核虫病发病过程中发挥作用。Cryptocaryon irritans is a holotrichous marine ciliate protozoan that causes "white spot disease", which is one of the most devastating parasites of Larimichthys crocea in Fujian Province.No safe drug strategy has been identified to prevent and cure "white spot disease".To investigate the expression and prognostic value of macrophage migration inhibitory factor(MIF) in C.irritans diseased L.crocea tissues, MIF expression was detected by immunohistochemistry of intestine, spleen, head kidney, and liver specimens of pathologically identified and healthy L.crocea tissues.None of the negative controls reacted, but MIF staining was intense in all L.crocea tissues infected with C.irritans disease.The MIF staining rates for the intestines, liver, spleen, and head kidney were 54%, 80%, 86% and 90%, respectively.The high MIF expression levels in diseased tissues indicate that MIF plays an important role in homeostasis of C.irritans infected with L.crocea.福建省自然科学基金项目(2013J01140); 2014年福建省海洋渔业资源与生态环境重点实验室科技项目(ZK2014004); 2015年集美大学福建省大学生创新项目(201510390074); 福建省研究生教育教学改革研究项目(闽教高[2015]11号;集大研[2015]19号); 厦门南方海洋研究中心科技项目; 海洋经济发展区域示范项目(14PYY050SF03;14PYY050SF03