关键词： Corrosion   Comment  

摘要： A Summary: Multiview datasets are the norm in bioinformatics, often under the label multi-omics. Multiview data are gathered from several experiments, measurements or feature sets available for the same subjects. Recent studies in pattern recognition have shown the advantage of using multiview methods of clustering and dimensionality reduction;however, none of these methods are readily available to the extent of our knowledge. Multiview extensions of four well-known pattern recognition methods are proposed here. Three multiview dimensionality reduction methods: multiview t-distributed stochastic neighbour embedding, multiview multidimensional scaling and multiview minimum curvilinearity embedding, as well as a multiview spectral clustering method. Often they produce better results than their single-view counterparts, tested here on four multiview datasets.

关键词： Analysis of variance   Animal cells   Animal studies   Biochemistry   Biology and life sciences   Blood cells   Candida   Candida albicans   Cell biology   Cell processes   Cellular structures and organelles   Cellular types   Eukaryota   Experimental organism systems   Fungal pathogens   Fungi   Immune cells   Immune receptors   Immune system proteins   Immunology   Macrophages   Mathematical and statistical techniques   Mathematics   Medical microbiology   Medicine and health sciences   Microbial pathogens   Microbiology   Model organisms   Mycology   Organisms   Pathogens   Pathology and laboratory medicine   Pattern recognition receptors   Phagocytosis   Phagosomes   Physical sciences   Proteins   Research and analysis methods   Research Article   Saccharomyces   Saccharomyces cerevisiae   Signal transduction   Statistical methods   Statistics   Vesicles   White blood cells   Yeast   Yeast and fungal models  

摘要： Phagocytosis is a receptor-mediated process critical to innate immune clearance of pathogens. It proceeds in a regulated sequence of stages: (a) migration of phagocytes towards pathogens, (b) recognition of PAMPs and binding through PRRs, (c) engulfment and internalisation into phagosomes, (d) phagosome maturation, and (e) killing of pathogen or host cells. However, little is known about the role that individual receptors play in these discrete stages in the recognition of fungal cells. In a previous study, we found that dectin-2 deficiency impacted some but not all stages of macrophage-mediated phagocytosis of Candida glabrata. Because the C-type lectin receptor dectin-2 critically requires coupling to the FcR gamma chain for signalling, we hypothesised that this coupling may be important for regulating phagocytosis of fungal cargo. We therefore examined how deficiency in FcR gamma itself or two receptors to which it couples (dectin-2 and mincle) impacts phagocytosis of six fungal organisms representing three different fungal taxa. Our data show that deficiency in these proteins impairs murine bone marrow-derived macrophage migration, engulfment, and phagosome maturation, but not macrophage survival. Therefore, FcR gamma engagement with selective C-type lectin receptors (CLRs) critically affects the spatio-temporal dynamics of fungal phagocytosis.

关键词： Spectra pre-processing   Derivative-order effect   Pattern recognition methods   Medicinal plants   Phylum  

摘要： Data pre-processing is an important strategy in chemometrics and related fields because in many cases the transformation of data has a great effect on the performance of the method (model). However, a careful examination of the literature clearly points out that only very few systematic studies are dedicated to the effect of the derivative spectra on the performance of the pattern recognition methods. This comprehensive study compares the impact of the order of derivative spectra and other data pre-processing procedures (normalization and standardization) on the performance of duster analysis, principal component analysis and discriminant analysis applied for characterization and classification of medicinal plants according to their phylum using UV spectra. The efficiency of the pre-processing methods was estimated by comparing the accuracy of classification and prediction measured by internal cross-validation. Derivatization method (1st order) resulted in the best classification (100%) of medicinal plants according to their phylum (Ptetidophyte, Magnotiophyte and Spermatophyte) as compared to other pre processing methods (normalized spectra-71.4%, standardized spectra-76.2% and original spectra-78.6%). (C) 2019 Elsevier B.V. All rights reserved.

关键词： BP network   Support vector machine (SVM)   Composite motion pattern recognition of shoulder-elbow   Upper limb rehabilitation training system  

摘要： Purpose This paper aims to develop a signal acquisition system of surface electromyography (sEMG) and use the characteristics of (sEMG) signal to interference action pattern. Design/methodology/approach This paper proposes a fusion method based on combining the coefficient of AR model and wavelet coefficient. It improves the recognition rate of the target action. To overcome the slow convergence speed and local optimum in standard BP network, the study presents a BP algorithm which combine with LM algorithm and PSO algorithm, and it improves the convergence speed and the recognition rate of the target action. Findings Experiments verify the effectiveness of the system from two aspects the target motion recognition rate and the corresponding reaction speed of the robotic system. Originality/value The study developed a signal acquisition system of sEMG and used the characteristics of (sEMG) signal to interference action pattern. The myoelectricity integral values are presented to determine the starting point and end point of target movement, which is more effective than using single sample point amplitude method.

关键词： 人工智能   行人重识别   特征融合   下采样   交叉二次判别分析度量学习   直方图均衡化   图像处理   模式识别  

摘要： 为解决实际监控场景中的行人重识别技术的智能应用,考虑到行人图像拍摄角度不断变化的情况,将颜色和纹理等特征进行融合,利用部分局部块提取图像特征;针对行人轮廓不清晰,提出在纹理特征提取前实现直方图均衡化的方法;通过对图像进行两次下采样,使算法具有更好的比例尺度不变性.与现有的局部最大概率(local maximal occurrence,LOMO)特征与跨视图二次鉴别分析(cross-view quadratic discriminant analysis,XQDA)方法结合的重识别方法进行对比,结果表明,在数据集VIPeR、PKU-Reid和i-LIDS-VID上重识别率rank1分别提高了0.28%、1.75%和0.20%,证明采用最小均衡化后的行人重识别率得到了提升.

关键词： 疾病早期预测   支持向量机   模式识别   种猪   生理生化  

摘要： 抗病育种是当前国内外发展健康养殖业的一项重要内容。笔者采用支持向量机的方法,利用免疫群体相关数据构建了一个种猪疾病早期诊断模型。利用该模型可以通过测量数个相关的生理生化指标较准确地预测初生仔猪的健康状况。该模型不仅可以应用于生猪生产,亦可用于高抗病型种猪的早期选种。

关键词： 模式识别   数学解题   思想方法   元认知  

摘要： 当主体接触到数学习题之后,首先要辨别题目的类型,以便与已有的知识和经验发生联系,从而利用熟悉问题的解题思路来发现新问题的解决方法,即模式识别策略。数学问题解决认知模型把解决数学问题分为4个过程:理解问题、选择算子、应用算子、结果评价。以一道高考解析几何题为例,说明模式识别策略在数学解题教学中的应用机理,揭示模式识别与思想方法、元认知、学习迁移、问题表征等的关系。

关键词： 光纤通信   系统故障   诊断模型   模式识别   特征向量  

摘要： 为了改善光纤通信系统故障诊断效果,设计了一种基于模式识别的光纤通信系统故障诊断模型。首先提取光纤通信系统故障诊断的特征向量,然后采用模式识别技术中的最小二乘支持向量机构建光纤通信系统故障诊断分类器,最后采用具体光纤通信系统故障诊断实例对模型性能进行测试。结果表明,设计模型的光纤通信系统故障诊断率超过90%,诊断效率较传统系统改善明显,且故障误诊率明显低于对比模型。