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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： SNEAKERS   TENNIS courts   BIOMECHANICS in sports  

摘要： Click to increase image sizeClick to decrease image size

关键词： 药品检测   内霉素   凝胶法   浊度法   显色基质法  

摘要： 在药品的生产和流通过程中,内霉素污染问题是不可能完全避免的。由于细菌内霉素对人体的严重危害,药品细菌内霉素的检测程序就必不可少。现如今细菌内霉素的检测方法,主要有凝胶法、动态浊度法、显色基质法三种方法。

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。

关键词： 医疗纠纷   法医学尸体解剖   法医鉴定  

摘要： 目的从法医学司法鉴定人角度研究医疗纠纷,为相关机构防范及处理医疗纠纷提供思路。方法通过对129例涉及医疗纠纷的尸体解剖案件进行回顾性分析。结果医疗纠纷在不同性别、年龄段、科室分布不同,涉及的死亡原因各异,与临床诊断有一定关系。近年医疗纠纷有增多的趋势。结论探讨法医学尸体检验在医疗纠纷解决中的作用,提出防范医疗纠纷的建议以及目前法医鉴定中存在的问题及建议。

关键词： 检验科   微生物   医院感染   监测  

摘要： 目的：探讨微生物实验室检验工作在医院感染监测中的作用。方法：总结2013年1月-12月我院医院感染发生情况,对医院感染发生情况进行总结分析,制定改进措施,并于2014年1月-12月实施改进措施,了解微生物实验室管理效果。结果：实施微生物实验室管理措施后,我院医院感染发生率由17.0%下降至8.0%,护患纠纷发生率由7.0%下降至0.0%（P〈0.05）。此外,我院患者平均住院时间明显缩短,住院费用明显降低,患者对医疗服务的满意程度也显著上升。结论：微生物实验室检验工作在医院感染监测中具有重要的作用,通过实施相关改进措施,能够降低医院感染的发生率,减少医疗纠纷和投诉事件的发生,提高感染监测管理的质量。

关键词： 实验诊断学   临床路径   特定疾病   医疗品质   临床思维   诊疗计划   临床医生   质量效益型   诊疗流程   医疗工作者  

摘要： 临床路径是一种现代质量效益型医疗管理模式,是医疗工作者针对某种疾病的诊断、治疗、检查和护理所制定的一个有严格顺序的、有准确时间要求的诊疗计划,以减少治疗恢复的延迟和医疗资源的浪费,使患者获得最佳的医疗服务。它是针对特定疾病的单一诊疗流程,更利于临床医生对于特定疾病形成规范化的认识及对疾病的诊断进行系统化掌握,帮助临床医生在病人诊断、治疗方面建立正确的临床思维;也有利于改善医疗品质,提高团队协作精神。