教学课程资源库 更多>>

关键词： 违约金   利息   竞合   合同约定   经济损失   实际损失   司法解释   当事人  

摘要： 【裁判要旨】当事人以合同约定为由同时主张违约金、利息以弥补经济损失，有合同依据和事实依据，但两者之和过分高于实际损失的，应予以调整，以体现合同法及司法解释关于补偿为主、惩罚为辅的原则。

关键词： 长方体硬纸包装   分拣   机器视觉   跟踪定位  

摘要： 系统针对长方体硬纸包装产品分拣环节智能化程度短板问题,开发以机器视觉引导的高速长方体硬纸包装产品分拣系统;采用高速工业相机为图像数据输入,利用工控机实时进行图像数据采集处理,识别出目标长方体硬纸包装产品的品种、位置、角度等参数信息,发送给机器人进行跟踪定位抓取分类分区归集;图形化的设计界面,可配置的用户化应用环境.

关键词： 尿糖   尿微量白蛋白   糖尿病早期肾损伤  

摘要： 目的研究在糖尿病早期肾损伤诊断中采取尿糖联合尿微量白蛋白检测的临床价值。方法该次样本为2014年9—至2017年9月期间该院参与收治的20例糖尿病早期肾损伤患者,作为实验组,选取同期纳入分析的20例健康体检人员作为参照组,比对两组数据分析差异。结果实验组糖尿病早期肾损伤患者尿糖阳性率、尿微量白蛋白阳性率、尿糖水平、尿微量白蛋白水平与参照组对比,差异有统计学意义(P<0.05)。结论将尿糖联合尿微量白蛋白检测应用在糖尿病早期肾损伤诊断中具有显著诊断价值,值得广泛推广应用。

关键词： 血液检验   地中海贫血   缺铁性贫血   诊断   鉴别  

摘要： 目的分析血液检验指标在贫血鉴别和诊断中的临床价值。方法 20例地中海贫血患者、20例缺铁性贫血患者及30例健康体检者作为研究对象,对其进行血液检验,对不同类型研究对象检验结果进行比较和分析。结果地中海贫血、缺铁性贫血患者的平均红细胞体积(MCV)、平均红细胞血红蛋白量(MCH)、平均红细胞血红蛋白浓度(MCHC)、红细胞分布宽度(RDW)与健康体检者比较差异具有统计学意义(P<0.05);地中海贫血患者MCHC、RDW与缺铁性贫血患者比较差异具有统计学意义(t=26.4374、5.4187,P<0.05)。结论血液检验能够有效诊断贫血并准确鉴别贫血的类型,可作为贫血诊断和鉴别的首选措施在临床中应用和推广。

关键词： Supervised leaming   Reject option   Small-sample setting   Abstaining classifier   ROC curve estimation  

摘要： Given a classification task, an approach to improve accuracy relies on the use of abstaining classifiers. These classifiers are trained to reject observations for which predicted values are not reliable enough: these rejected observations belong to an abstaining area in the feature space. Two equivalent methods exist to theoretically compute the optimal abstaining area for a given classification problem. The first one is based on the posterior probability computed by the model and the other is based on the derivative of the ROC function of the model. Although the second method has proved to give the best results, in small-sample settings such as the one found in omits data, the estimation of posterior probabilities and derivative of ROC curve are both lacking of precision leading to far from optimal abstaining areas. As a consequence none of the two methods bring the expected improvements in accuracy. We propose five alternative algorithms to compute the abstaining area adapted to small-sample problems. The idea of these algorithms is to compute an accurate and robust estimation of the ROC curve and its derivatives. These estimation are mainly based on the assumption that the distribution of the output of the classifier for each class is normal or mixture of normal distributions. These distributions are estimated by a kernel density estimator or Bayesian semiparametric estimator. Another method works on the approximation of the convex hull of the ROC curve. Once the derivative of the ROC curve are estimated, the optimal abstaining area can be directly computed. The performance of our algorithms are directly related to their capacity to compute an accurate estimation of the ROC curve. A sensitivity analysis of our methods to the dataset size and rejection cost has been done on a set of experiments. We show that our methods improve the performances of the abstaining classifiers on several real datasets and for different learning algorithms. (C) 2017 Elsevier Ltd. All

关键词： 包装印刷材料   包装印刷产品   分类方法  

摘要： 为了使相关人员及时准确了解GB/T 33254—2016《包装印刷材料分类》和GB/T 33255—2016《包装印刷产品分类》,对2项国家标准进行了详细解读,并分析了其对企业、行业的影响。2项国家标准的制定遵循了5项基本原则即科学性、系统性、可扩展性、兼容性、适用性;其分类方法采用分面分类法和线分类法。2项国家标准规范了企业的分类管理,提高了企业的生产效率,带动了各项标准化工作的有序开展,发挥了其在行业内的引领作用。

关键词： agent-based modelling   creative industries   dynamics   Nanjing   spatial clustering   urban spatial structure  

摘要： Much of the focus of research on creative industries' influence upon urban land use has been around the investment in specific regeneration projects or flagship developments rather than addressing the nature and location of the infrastructure, networks and agents engaged. In other words, the complexity of the institutional/temporal and spatial interaction among the involved elements is overlooked or not well understood. This paper presents an agent-based model named CID-USST (Creative Industries Development-Urban Spatial Structure Transformation) that examines the dynamics of the interaction between the development of creative industries and urban spatial structure by outputting a set of adaptive scenarios through time and space. It reveals that the spatial distribution of both the creative firms and the creative workers evolves in a repeating up-and-down pattern even when the exogenous urban economic condition is set to be steady. Moreover, the analysis also points to the policy implication that more open job/rent market information will lead to more rapid geographical clustering of the creative firms and the creative workers, which possibly may reduce the time cost in their spatial evolvement, and perhaps accelerate innovation if we accept that geographical proximity can enhance knowledge and information spill-over.

关键词： Bipolar disorder   microRNA   Redox modulation   Data mining   Oxidative stress   Mitochondria  

摘要： The etiology of redox (reduction and oxidation) alterations in bipolar disorder (BD) is largely unknown. To explore whether microRNAs targeting redox enzymes may have a role in BD, we examined 3 frontal cortex microRNA expression datasets (Perkins [2007], Vladimirov [2009], and Miller [2009];N for BD = 30-36 per dataset, N for controls = 28-34 per dataset) from the Stanley Neuropathology Consortium. Each dataset was analyzed separately because they were generated using different high-throughput platforms. Following the selection of only redox modulator-targeting microRNAs, microRNAs in the top 10th percentile in feature selection could together discriminate BD and controls at a greater frequency than expected by chance in classification analysis. In pathway enrichment analysis of all three datasets, these classifying microRNAs targeted the cellular nitrogen compound metabolic process pathway, which includes redox enzymes of the mitochondrial electron transport chain and the glutathione system. To see if this pathway would still emerge as significant if all microRNAs (not just redox-targeting) were analyzed, all analyses were repeated with the complete set of microRNAs. Cellular nitrogen compound metabolic process pathway was enriched in all 3 datasets in this analysis as well, demonstrating that preselection of redox microRNAs was not a requirement to identify this pathway for the discrimination of BD and controls. While preliminary, our findings suggest that microRNAs that target redox enzymes in this pathway may be good candidates for the exploration of causative factors contributing to redox alterations in BD. Future studies validating these findings in a separate set of central and peripheral samples are warranted.

关键词： PROCEDURAL justice   CRIMINAL justice administration   MISCONDUCT in office   COMPLIANCE  

摘要： Tom Tyler's Procedural Justice Theory has received support in a variety of studies using criminal justice authorities as the research focus. To date, the theory has not been empirically tested using corporate malfeasance as an outcome, despite evidence that procedural justice is important in achieving regulatory compliance. This study uses factorial survey methods to examine whether corporate behavior is predicted by professionals' perceptions of procedural justice and legal legitimacy. We find that procedural justice and legitimacy considerations are salient only when managers have direct contact with regulatory authorities. This supports John Braithwaite's argument that effective regulation is enhanced by microlevel interactions in which procedural justice can be effectively leveraged to promote compliance.

关键词： Hyperspectral image (HSI)   Classification   Low-rank   Tensor learning   Limited labeled samples  

摘要： Previous studies have demonstrated that integrating spatial information can potentially provide significant improvements for classification of hyperspectral image (HSI). However, it remains a challenging task to classify the high-dimensional HSI with limited number of training samples. In this paper, we propose a spectral-spatial classification framework based on low-rank tensor learning (lrTL). Unlike the traditional vector/matrix-based methods, the proposed lrTL method aims at improving the classification performance by naturally treating the HSI as a third-order tensor under the umbrella of multilinear algebra. First, small local patches containing the training (or test) samples are extracted from the original HSI cube by superpixel segmentation to preserve the structural information. Second, the lrTL algorithm is proposed to present the local patch of each test sample as a linear combination of all of the training patches. Low rank constraint is enforced on the parameter tensor to capture the global structure of the HSI. Finally, the class label of the test sample can be determined by the minimal residual between the local patch containing the test sample and its approximation from different class subdictionaries. Experimental results on three benchmark HSI datasets demonstrate the effectiveness of the lrTL in improving the classification performance especially with limited training samples. (C) 2017 Elsevier B.V. All rights reserved.