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关键词： 突发公共卫生事件   理化检验   质量控制  

摘要： 目的分析突发食物中毒事件理化检验质量控制的意义。方法选择2014年1月-2015年12月郑州市公共安全卫生食物中毒突发事件进行研究,包括婚宴食物中毒、大型聚餐食物中毒及学校食物中毒。结果通过两年数据的分析对比显示,理化检验质量逐渐加强,突发公共卫生食物中毒事件逐渐减少,并且两组差异有统计学意义（P〈0.05）。结论理化检验质量控制在突发公共卫生食物中毒事件中控制效果良好,减少公共卫生食物中毒事件的发生率。

关键词： 沙门氏菌优化检测方法   预防性体检   便样检验  

摘要： 目的探讨沙门氏菌优化检测方法在预防性体检便样检验中的作用,从而加强卫生监督。方法选取自2015年1月-2015年5月期间在我院检验科进行预防性体检的400名从事食品卫生行业人员的便样标本作为研究样本,根据检测方法的不同分为试验组和对照组,每组均对400份样本进行检测,试验组的样本采用沙门氏菌优化检测方法来检测便样标本中的沙门氏菌,而对照组则采用标准的检测方法进行检测,比较两组标本沙门氏菌的检出率的区别。结果经过检测,采用优化检测方法检测沙门氏菌的检出率为3.25%远高于通过标准检测方法的1%,差异具有统计学意义(P<0.05)。结论作为预防性体检中必不可少的项目,沙门氏菌的检测采用优化检测方法不仅检出率高,而且操作简单,可以广泛的应用于沙门氏菌的检测中。

关键词： 糖尿病   肾损伤   尿微量白蛋白   尿糖  

摘要： 目的分析尿糖与尿微量白蛋白联合检验对糖尿病早期肾损伤的诊断作用。方法选取2013年3月～2015年10月我院收治的108例糖尿病早期肾损伤患者作为实验组,另选取同一时间段的108例健康体检者作为常规组,对两组受检者均进行尿糖与尿微量白蛋白检测,比较两组受检者的尿糖、尿微量白蛋白含量,分析其与早期肾损伤间的联系。结果实验组:尿糖、尿微量白蛋白含量分别为(3.13±1.30)mmol/L与(39.20±7.62)mg/L;常规组:尿糖、尿微量白蛋白含量分别为(1.18±0.51)mmol/L与(16.75±2.60)mg/L。比较两组患者尿糖值可知,P值为0.001,T值为14.512;比较两组患者尿微量白蛋白可知,P值为0.001,T值为28.977。比较两组受检者的上述指标值差异有统计学意义,P<0.05。结论尿糖与尿微量白蛋白联合检验方式可用于临床上对糖尿病早期肾损伤患者的鉴别诊断,并依据检查结果对患者的病情进行全面评估,有利于疾病的诊断与治疗。

关键词： 糖尿病   糖化血红蛋白检验   诊治效果  

摘要： 目的分析并探讨糖化血红蛋白(Hb Alc)检验在糖尿病(DM)诊治中的作用,评价其价值。方法选取80例DM患者作为观察组,另取同期行健康体检者80例作为对照组,采用酶比色法检测Hb Alc,采用已糖激酶(HK)法检测空腹血糖、餐后2 h血糖,给予观察组常规降糖药物治疗,分析DM患者的临床诊治效果。结果观察组的空腹血糖、餐后2 h血糖、Hb Alc水平均高于对照组,差异具有统计学意义(P<0.05)。DM患者治疗后第1周的Hb Alc水平与治疗前比较,差异无统计学意义;治疗后第4、6、10周的Hb Alc水平均低于治疗前,差异具有统计学意义(P<0.05)。Hb Alc>10的并发症发生率高于6

关键词： 卫生理化检验   疾病预防   疾病控制  

摘要： 卫生理化检验是卫生检查以及疾病预防控制中十分重要的工作内容,随着社会经济的不断发展,多元化的卫生安全问题逐渐显现,因此,卫生理化检验在疾病预防以及疾病控制的过程中有十分重要的作用。在疾病预防控制角度对卫生理化检验进行分析,并对疾病控制的作用及实现进行阐述,旨在实现卫生理化检验工作在疾病预防控制中的综合性发展。

关键词： 数字图像技术   图片处理功能   图像编辑   痕迹检验   刑事侦查  

摘要： 计算技术与信息技术的共同发展使得数字图像技术也出现了变化，越来越多的软件具有图片处理功能，其中最为人所熟知的便是Photoshop（简称PS），这种软件具有强大的图像处理能力，因此具有非常宽广的应用领域。笔者选择痕迹检验这一刑事科学领域作为研究方向，试探讨PS在其中发挥的具体作用。

关键词： Organic   Retail environment   Consumer perceptions   Brand attitude   Brand trust  

摘要： The organic label has been studied extensively in the literature;however, few studies take into consideration the context in which the organic purchase takes place. In this study, we examine the product type (virtue vs. vice) as well as the purchase context (retailer: Target vs. Walmart). Using an online experiment with U.S. consumers (N= 605), we determine how the organic label interacts with each of these contexts and how these interactions impact downstream evaluations such as expected taste, nutrition, safety, likelihood of purchase, and attitude and trust toward the product's brand. Results of the study reveal both the organic label and retail context impact product evaluations. First, results showed organic products were perceived more favorably on a number of measures (including nutrition, safety, brand attitude, and brand trust) than their non-organic counterparts, providing evidence of an organic "halo" effect. Interestingly, though, the organic "halo" did not extend to two measures: expected taste and likelihood of purchase. Secondly, organic labeling benefits virtue and vice products in distinct aspects - the organic virtue product had better expected taste while the organic vice product had higher expected nutrition. Finally, we find that retailers are a crucial factor that moderates the evaluation of organic products. Our results suggest retailers like Target may be better outlets for promoting organic vice products whereas retailers like Walmart may only be good outlets for promoting organic virtue products. This study has important implications for the National Organic Program, the Organic Trade Association, producers, and food brand managers. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： dielectrophoresis force spectroscopy   intermolecular weak binding interactions   energy landscape   microfluidic device   pulling direction  

摘要： The direct quantification of weak intermolecular binding interactions is very important for many applications in biology and medicine. Techniques that can be used to investigate such interactions under a controlled environment, while varying different parameters such as loading rate, pulling direction, rupture event measurements, and the use of different functionalized probes, are still lacking. Herein, we demonstrate a biaxial dielectrophoresis force spectroscopy (BDFS) method that can be used to investigate weak unbinding events in a high-throughput manner under controlled environments and by varying the pulling direction (i.e., transverse and/or vertical axes) as well as the loading rate. With the BDFS system, we can quantitatively analyze binding interactions related to hydrogen bonding or ionic attractions between functionalized microbeads and a surface within a microfluidic device. Our BDFS system allowed for the characterization of the number of bonds involved in an interaction, bond affinity, kinetic rates, and energy barrier heights and widths from different regimes of the energy landscape.

关键词： Artificial neural network   Feature extraction   Histogram of oriented gradient   Wavelet transform   Fourier descriptor   Principal component analysis   Millimeter wave   Imaging  

摘要： Millimeter wave (MMW) frequency has emerged as an efficient tool for different stand-off imaging applications. In this paper, we have dealt with a novel MMW imaging application, i.e., non-invasive packaged goods quality estimation for industrial quality monitoring applications. An active MMW imaging radar operating at 60 GHz has been ingeniously designed for concealed fault estimation. Ceramic tiles covered with commonly used packaging cardboard were used as concealed targets for undercover fault classification. A comparison of computer vision-based state-of-the-art feature extraction techniques, viz, discrete Fourier transform (DFT), wavelet transform (WT), principal component analysis (PCA), gray level co-occurrence texture (GLCM), and histogram of oriented gradient (HOG) has been done with respect to their efficient and differentiable feature vector generation capability for undercover target fault classification. An extensive number of experiments were performed with different ceramic tile fault configurations, viz., vertical crack, horizontal crack, random crack, diagonal crack along with the non-faulty tiles. Further, an independent algorithm validation was done demonstrating classification accuracy: 80, 86.67, 73.33, and 93.33 % for DFT, WT, PCA, GLCM, and HOG feature-based artificial neural network (ANN) classifier models, respectively. Classification results show good capability for HOG feature extraction technique towards non-destructive quality inspection with appreciably low false alarm as compared to other techniques. Thereby, a robust and optimal image feature-based neural network classification model has been proposed for non-invasive, automatic fault monitoring for a financially and commercially competent industrial growth.

关键词： ISO / IEC 17025   grain classification   quality control   precision  

摘要： The study aimed to i) quantify the measurement uncertainty in the physical tests of rice and beans for a hypothetical defect, ii) verify whether homogenization and sample reduction in the physical classification tests of rice and beans is effective to reduce the measurement uncertainty of the process and iii) determine whether the increase in size of beans sample increases accuracy and reduces measurement uncertainty in a significant way. Hypothetical defects in rice and beans with different damage levels were simulated according to the testing methodology determined by the Normative Ruling of each product. The homogenization and sample reduction in the physical classification of rice and beans are not effective, transferring to the final test result a high measurement uncertainty. The sample size indicated by the Normative Ruling did not allow an appropriate homogenization and should be increased.