教学课程资源库 更多>>

关键词： 重要性   血液分析   血涂片  

摘要： 目的:观察在血液分析当中采取血涂片复检的临床应用价值。方法:选取2011年9月-2013年11月在我院通过血细胞分析检测标本2 645份,根据血涂片复查规则和报警信息对其中出现异常结果的标本给予人工推片、染色以及显微镜复查,给予全面分析。结果:通过血细胞分析标本2 645份,血涂片镜检测421份,其中371份血涂片镜检结构和血细胞分析仪检测结构相符合,符合率为88.12%。结论:在血液分析当中采取血涂片复检,可以避免出现漏诊,具有临床推广价值。

关键词： Multi-class data classification   Mathematical programming   Mixed integer optimisation   Hyper box representation  

摘要： In this work, we propose two novel classifiers for multi-class classification problems using mathematical programming optimisation techniques. A hyper box-based classifier (Xu & Papageorgiou, 2009) that iteratively constructs hyper boxes to enclose samples of different classes has been adopted. We firstly propose a new solution procedure that updates the sample weights during each iteration, which tweaks the model to favour those difficult samples in the next iteration and therefore achieves a better final solution. Through a number of real world data classification problems, we demonstrate that the proposed refined classifier results in consistently good classification performance, outperforming the original hyper box classifier and a number of other state-of-the-art classifiers. Furthermore, we introduce a simple data space partition method to reduce the computational cost of the proposed sample re-weighting hyper box classifier. The partition method partitions the original dataset into two disjoint regions, followed by training sample re-weighting hyper box classifier for each region respectively. Through some real world datasets, we demonstrate the data space partition method considerably reduces the computational cost while maintaining the level of prediction accuracies. (C) 2015 The Authors. Published by Elsevier Ltd.

关键词： industrial and organizational psychology   abusive supervision   communication competence   organizational development/organizational change   organizational communication   superior-subordinate communication  

摘要： In this article, we propose and test a model of downward abusive communication. According to the model, a superior's display of abusive communication toward his or her subordinates is caused by a lack of downward communicative adaptability. Superiors from various organizations completed an online survey, which measured their downward communicative adaptability and downward abusive communication. The results of a regression analysis provided support for the model. We conclude the article with a discussion of the practical and theoretical implications of our findings.

关键词： High dimension low sample size classification   Action recognition   Geometric classification   Multimedia analysis  

摘要： Research on high dimension, low sample size (HDLSS) data has revealed their neighborless nature. This paper addresses the classification of HDLSS image or video data for human activity recognition. Existing approaches often use off-the-shelf classifiers such as nearest neighbor techniques or support vector machines and tend to ignore the geometry of underlying feature distributions. Addressing this issue, we investigate different geometric classifiers and affirm the lack of neighborhoods within HDLSS data. As this undermines proximity based methods and may cause over-fitting for discriminant methods, we propose a QR factorization approach to Nearest Affine Hull (NAH) classification which remedies the HDLSS dilemma and noticeably reduces time and memory requirements of existing methods. We show that the resulting non-parametric models provide smooth decision surfaces and yield efficient and accurate solutions in multiclass HDLSS scenarios. On several action recognition benchmarks, the proposed NAH classifier outperforms other instance based methods and shows competitive or superior performance than SVMs. In addition, for online settings, the proposed NAH method is faster than online SVMs. (c) 2015 Elsevier Inc. All rights reserved.

关键词： Face recognition   Single sample per person   Generic learning   Variational Feature Representation   Face image   Normal feature   Linear regression   Non-ideal conditions  

摘要： The single sample per person (SSPP) problem is of great importance for real-world face recognition systems. In SSPP scenario, there is always a large gap between a normal sample enrolled in the gallery set and the non-ideal probe sample. It is a crucial step for face recognition with SSPP to bridge the gap between the ideal and non-ideal samples. For this purpose, we propose a Variational Feature Representation-based Classification (VFRC) method, which employs the linear regression model to fit the variational information of a non-ideal probe sample with respect to an ideal gallery sample. Thus, a corresponding normal feature, which reserve the identity information of the probe sample, is obtained. A combination of the normal feature and the probe sample is used, which makes VFRC method more robust and effective for SSPP scenario. The experimental results show that VFRC method possesses higher recognition rate than other related face recognition methods. (C) 2015 Elsevier Inc. All rights reserved.

关键词： Random Forest   classification   training data sample selection   peatland   wetland   LiDAR  

摘要： Random Forest (RF) is a widely used algorithm for classification of remotely sensed data. Through a case study in peatland classification using LiDAR derivatives, we present an analysis of the effects of input data characteristics on RF classifications (including RF out-of-bag error, independent classification accuracy and class proportion error). Training data selection and specific input variables (i.e., image channels) have a large impact on the overall accuracy of the image classification. High-dimension datasets should be reduced so that only uncorrelated important variables are used in classifications. Despite the fact that RF is an ensemble approach, independent error assessments should be used to evaluate RF results, and iterative classifications are recommended to assess the stability of predicted classes. Results are also shown to be highly sensitive to the size of the training data set. In addition to being as large as possible, the training data sets used in RF classification should also be (a) randomly distributed or created in a manner that allows for the class proportions of the training data to be representative of actual class proportions in the landscape;and (b) should have minimal spatial autocorrelation to improve classification results and to mitigate inflated estimates of RF out-of-bag classification accuracy.

关键词： human milk   mammalian milk triacylglycerols   fat extraction   HPLC-ELSD   linear discriminant analysis  

摘要： In this work, a method for the separation of triacylglycerols (TAGs) present in human milk and from other mammalian species by reversed-phase high-performance liquid chromatography using a core shell particle packed column with UV and evaporative light-scattering detectors is described. Under optimal conditions, a mobile phase containing acetonitrile/npentanol at 10 degrees C gave an excellent resolution among more than SO TAG peaks. A small-scale method for fat extraction in these milks (particularly of interest for human milk samples) using minimal amounts of sample and reagents was also developed. The proposed extraction protocol and the traditional method were compared, giving similar results, with respect to the total fat and relative TAG contents. Finally, a statistical study based on linear discriminant analysis on the TAG composition of different types of milks (human, cow, sheep, and goat) was carried out to differentiate the samples according to their mammalian origin.

关键词： SNEAKERS   TENNIS courts   BIOMECHANICS in sports  

摘要： Click to increase image sizeClick to decrease image size

关键词： 临床微生物   实验室   培训  

摘要： 临床微生物学的快速发展,使实验室主任面临机遇和挑战。临床微生物实验室主任的作用是向临床提供技术及医疗咨询服务,参与多层次的教育培训计划,开展临床微生物学相关领域的科学研究,对实验室运作中的人员、设备、试剂耗材、方法、质量、信息、项目、环境、安全、感染控制、公共卫生与反恐等工作进行全方位管理。