教学课程资源库 更多>>

关键词： 细菌检验   鼠疫菌   培养基   注意事   微生物制剂   人工营养   制备过程  

摘要： 培养基是细菌的人工营养料,是细菌检验中不可缺少的一部分,用于繁殖细菌。分离细菌,鉴定细菌,研究细菌,制造菌苗或其它微生物制剂等,它在鼠疫细菌检验中发挥着非常重要的作用。笔者就鼠疫细菌检验中培养基的作用及制备过程的注意事项进行探讨。[第一段]

关键词： 出入境检验检疫局   动力作用   党建工作   外高桥   上海   党员干部   专项整治   食品安全  

摘要： 上海出入境检验检疫局外高桥局充分发挥党建工作的原动力作用．向全体党员干部和职工发出了争做“排头兵”。坚决打好食品质量和食品安全专项整治攻坚战的倡议，各党支部陆续开展以“增强忧患意识，确保质量安全”为主题的党课教育。

关键词： multi-modal biometric   small sample bionnetric recognition   face and palmprint   pixel level fusion   Gabor transform   kernel discriminative   common vectors (KDCV)   radial base function (RBF) network   KDCV-RBF classifier  

摘要： Recently, multi-modal biometric fusion techniques have attracted increasing attention and interest among researchers, in the hope that the supplementary information between different biometrics might improve the recognition performance in some difficult biometric problems. The small sample biometric recognition problem is such a research difficulty in real-world applications. So far, most research work on fusion techniques has been done at the highest fusion level, i.e. the decision level. In this paper, we propose a novel fusion approach at the lowest level, i.e. the image pixel level. We first combine two kinds of biometrics: the face feature, which is a representative of contactless biometric, and the paimprint feature, which is a typical contacting biometric. We perform the Gabor transform on face and palmprint images and combine them at the pixel level. The correlation analysis shows that there is very small correlation between their normalized Gabor-transformed images. This paper also presents a novel classifier, KDCV-RBF, to classify the fused biometric images. It extracts the image discriminative features using a Kernel discriminative common vectors (KDCV) approach and classifies the features by using the radial base function (RBF) network. As the test data, we take two largest public face databases (AR and FERET) and a large paimprint database. The experimental results demonstrate that the proposed biometric fusion recognition approach is a rather effective solution for the small sample recognition problem. (c) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

关键词： bioinformatics   post-translational modifications   proteomic patterns  

摘要： Proteomic patterns as a potential diagnostic technology has been well established for several cancer conditions and other diseases. The use of machine learning techniques such as decision trees, neural networks, genetic algorithms, and other methods has been the basis for pattern determination. Cancer is known to involve signaling pathways that are regulated through PTM of proteins. These modifications are also detectable with high confidence using high-resolution MS. We generated data using a prOTOF (TM) mass spectrometer on two sets of patient samples: ovarian cancer and cutaneous t-cell lymphoma (CTCL) with matched normal samples for each disease. Using the knowledge of mass shifts caused by common modifications, we built models using peak pairs and compared this to a conventional technique using individual peaks. The results for each disease showed that a small number of peak pairs gave classification equal to or better than the conventional technique that used multiple individual peaks. This simple peak picking technique could be used to guide identification of important peak pairs involved in the disease process.

关键词： near-infrared   spectroscopy   honey   authenticity   geographical origin   classification  

摘要： The potential of near-infrared (NIR) spectroscopy to determine the geographical origin of honey samples was evaluated. In total, 167 unfiltered honey samples (88 Irish, 54 Mexican, and 25 Spanish) and 125 filtered honey samples (25 Irish, 25 Argentinean, 50 Czech, and 25 Hungarian) were collected. Spectra were recorded in transflectance mode. Following preliminary examination by principal component analysis (PCA), modeling methods applied to the spectral data set were partial least-squares (PLS) regression and soft independent modeling of class analogy (SIMCA);various pretreatments were investigated. For unfiltered honey, best SIMCA models gave correct classification rates of 95.5, 94.4, and 96% for the Irish, Mexican, and Spanish samples, respectively;PLS2 discriminant analysis produced a 100% correct classification for each of these honey classes. In the case of filtered honey, best SIMCA models produced correct classification rates of 91.7, 100, 100, and 96% for the Argentinean, Czech, Hungarian, and Irish samples, respectively, using the standard normal variate (SNV) data pretreatment. PLS2 discriminant analysis. produced 96, 100, 100, and 100% correct classifications for the Argentinean, Czech, Hungarian, and Irish honey samples, respectively, using a second-derivative data pretreatment. Overall, while both SIMCA and PLS gave encouraging results, better correct classification rates were found using PLS regression.

关键词： 社会养老制度   产生和发展   因素分析   效度检验  

摘要： 社会养老制度是依靠什么力量产生和发展起来的?对此,有很多不同的回答进而形成了五种理论观点。本文对此作了归纳和分析,并以几个国家的经验为依据,分别检验了这些理论观点(包括工业发展理论、社会民主理论、新马克思主义理论、新多元化理论、国家中心理论)的效度。笔者认为,单个理论的效度犹如彩虹的不同颜色一样,只有整合在一起才能完整、有效地解释不同国家社会养老保险制度的产生和发展历程,而英国的案例很好地诠释了这个观点。

关键词： 信用评价   检验检疫工作   市场经济秩序   质量   企业信用   经济主体   出口企业   失信行为  

摘要： 市场经济本质上是信用经济，作为市场经济主体的企业。企业信用则是维护市场经济正常秩序的保证。在我国，出口企业以次充好、以劣充优、商业欺诈等失信行为时有发生，严重扰乱了市场经济秩序，损害了我国出口商品 国际上的整体形象，败坏了国家声誉。

关键词： 人口增长   经济增长   人口增长贡献率   实证检验  

摘要： 人口增长与经济增长的相互关系是经济研究中长期关注的问题。本文就改革开放以来广东省的经验数据,通过对人口变动与经济增长的相关分析,以及利用生产函数模型对人口增长在经济增长中的贡献进行计量分析。实证结果表明:人口规模及增速与经济增长呈弱性相关,人口结构与经济增长呈高度相关;人口因素对经济增长的贡献率不高,人口增长率下降对经济发展起到较明显的促进作用。

关键词： 合同形式   国家干预   正当性  

摘要： 在合同自由的大前提下,部分合同形式的要式主义是国家干预合同形式的体现。这一干预的正当性可从三方面得到论证:国家与市民社会的关系理论为干预提供了合理性说明,现代社会背景下合同法理念的转变为干预提供了必要性说明,原则与标准的设定为干预提供了可行性说明。

关键词： 国家标准化管理委员会   质量监督检验   干茧质量   桑蚕   专业纤维检验机构   国家质检总局   监督检验工作   试验方法  

摘要： 国家质检总局和国家标准化管理委员会于2006年9月18日和12月29日分别发布了《桑蚕干茧》（GB9176—2006）和（（桑蚕干茧试验方法》（GB／T9111—2006）国家标准。新标准在质量要求、质量标志和检验方法等方面进行了重大改革．为专业纤维检验进行干茧质量监督检验工作提供了有力的技术支持。与此同时．也给专业纤维检验机构提出了更高的要求。