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关键词： 检验检测   公正为本   服务社会   品牌管理   核心竞争力   提升  

摘要： 我国是全球增长最快、潜力最大的检验检测认证市场。然而,目前我国检验检测市场竞争激励,检验检测市场的#张速度与检验检测机构数量的增幅不平衡。与此同时,我国的检验认证行业仍然存在"小、散、弱"的不足,缺乏国际性的检测认证平台。目前越来越多的外资、国有、民营资本正不断地涌入检验检测市场。只有充分发挥品牌管理引领作用,提升检验检测机构的核心竞争力,才能在残酷的市场竞争中争得一席之地。

关键词： 合同形式   价值功能   形式自由的限定  

摘要： 以比较法视角,对于合同形式立法沿革进行梳理,结合我国立法现状,得出合适的立法模式:在坚持意思自治和合同形式自由的原则的基础上,对于部分类型的合同形式进行一定的限制。

关键词： 化工分析   化工检验   化工生产  

摘要： 在我国经济不断快速提升的大环境下,当前我国人民对于化工生产的商品需求量越来越多,对商品的质量要求也越来越高,而保证化工生产商品质量的重要条件是能够在化工生产中进行化工分析和化工检验两项内容。只有保证这两项内容能够顺利进行,才能有效提高化工生产商品质量以及生产技术水平。所以在化工生产中必须要进行化学分析和化学检验,本文通过研究我国现阶段化工生产分析与检验工作中存在的主要问题,并提出合理的解决策略,从而提高我国化工分析与化工检验工作效率保证化工产品质量。

关键词： 全血C反应蛋白   血常规检验   儿科   细菌性感染性疾病  

摘要： 分析研究全血C反应蛋白与血常规联合检验在儿科细菌性感染性疾病中的诊断作用。方法:选择于2017年3月—2018年7月间在我院进行细菌性感染性诊断的患儿共120例进行研究,采取随机抽样分为对照组和观察组,各为60例。其中对照组应用血常规进行诊断,观察组联合应用全血C反应蛋白进行诊断,对两组诊断的准确度进行对比。结果:观察组诊断准确度为95%,对照组诊断准确度为65%,观察组诊断准确度高于对照组诊断准确度,差异具有统计学意义(P<0.05)。结论:在进行儿科细菌性感染性疾病诊断时应用全血C反应蛋白联合血常规检验可以有效提高总检出率,确保诊断的准确度。

关键词： Hyperspectral image   Classification   Features fusion   Belief propagation  

摘要： In order to solve the massive information but low accuracy problem of hyperspectral image (HSI) classification, a novel HSI classification method MFSSL-BPMRF based on belief propagation (BP) Markov random field (MRF) using multi-features and small sample learning (MFSSL) is proposed in this paper. Firstly, an extended morphological multi-attributes profiles algorithm is used to extract spatial information of HSI, and a spatial-spectral multi-features fusion model is established to improve classification results. Then, BPMRF is used for image segmentation and classification because of its superiority in the spatial-spectral combination classification. MRF can describe the spatial distribution features of ground objects based on neighborhood model, and the spectral information of pixels can be integrated into the calculation of conditional probability. BP is used to learn the marginal probability distributions from the multi-features fusion information. Finally, the small sample training set is selected to enhance the computational efficiency. In the experiments of several hyperspectral images, the proposed method provides higher classification accuracy than other methods, and it is efficient for the classification with limited labeled training samples.

关键词： Linear discriminant analysis   semi-supervised learning   robust classification   feature selection   sample outlier detection   Alzheimer's disease   Parkinson's disease   biomarker identification   disease diagnosis   nuclear norm   regularization  

摘要： Discriminative methods commonly produce models with relatively good generalization abilities. However, this advantage is challenged in real-world applications (e.g., medical image analysis problems), in which there often exist outlier data points (sample-outliers) and noises in the predictor values (feature-noises). Methods robust to both types of these deviations are somewhat overlooked in the literature. We further argue that denoising can be more effective, if we learn the model using all the available labeled and unlabeled samples, as the intrinsic geometry of the sample manifold can be better constructed using more data points. In this paper, we propose a semi-supervised robust discriminative classification method based on the least-squares formulation of linear discriminant analysis to detect sample-outliers and feature-noises simultaneously, using both labeled training and unlabeled testing data. We conduct several experiments on a synthetic, some benchmark semi-supervised learning, and two brain neurodegenerative disease diagnosis datasets (for Parkinson's and Alzheimer's diseases). Specifically for the application of neurodegenerative diseases diagnosis, incorporating robust machine learning methods can be of great benefit, due to the noisy nature of neuroimaging data. Our results show that our method outperforms the baseline and several state-of-the-art methods, in terms of both accuracy and the area under the ROC curve.

关键词： 木材检验技术   森林资源管理   作用  

摘要： 木材检验技术是买卖市场交易、企业核算运营状况、市场信息反馈、林业部门了解市场状况、保护市场正常经营和森林资源、保证中国林业市场有序可持续经营的重要工具。本文结合木材检验工作的实际情况,探讨了木材检验技术在森林资源管理的作用。

关键词： sample shifting technique (SST)   load taxonomy   signature analysis (SA)   load signature   Hierarchical clustering   classification   cluster   load monitoring   feature extraction   load trajectory  

摘要： This paper illustrates an improved method of classification of electrical appliances, particularly for domestic loads, to construct load taxonomy on the basis of their signature analysis. Each electrical load is characterized by its own distinct signature and hence load signature analysis is useful in monitoring the health of the equipment, power quality, in determining individual energy usage etc. type of services. On the other hand, load taxonomy classifies these loads in several clusters on the basis of some features extracted from their signatures. In traditional methods of construction of load taxonomy, different signature patterns based on power metrics, V-I trajectories, Eigen vectors, etc. In this proposed method, with the adoption of sample shifting technique the required number of feature extraction is reduced to a lower value to find out various signature patterns than those are required in traditional load taxonomies. Moreover, a better taxonomy, having well separated groups of loads is achieved with lower number of extracted features.

关键词： 卫生理化检验   疾病预防控制   作用  

摘要： 目的对卫生理化检验在疾病预防控制中的作用进行研究。方法选取该地区51例不同疾病患者作为研究对象,于2016年6月在该地区开展卫生理化检验工作,对比2015年5月—2016年5月与2016年6月—2017年6月疾病有效控制时间、公众满意度情况。结果采取卫生理化检验措施之后,疾病有效控制时间明显缩短,患者满意度评分明显提高。结论卫生理化检验在疾病预防控制中作用显著,值得临床推广。

关键词： 生化检验   肾上腺皮质病   临床诊断   有效率  

摘要： 目的:探讨生化检验在肾上腺皮质疾病诊断中的临床效果。方法:选择2016年11月～2017年11月某院收治的84例肾上腺皮质疾病患者作为研究对象,并且按照随机原则平均分成A、B两组,每组42例。其中,A组应用常规检验方法,B组应用生化检验方法,对比两组患者的临床诊断有效率。结果:经过检验后,B组相较于A组,临床诊断有效率明显更高,组间差异显著,具有统计学意义(P<0.05)。结论:在肾上腺皮质疾病诊断中应用生化检验诊断有效率较高,具有良好的效果,值得在临床诊断中大力推广和应用。