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关键词： 动物检验   食品安全   检疫  

摘要： 食品安全关系着我国社会的经济与稳定,而动物检验检疫是保障食品安全的重要前提,为提高动物检验检疫的水平,本文从动物检验检疫在食品安全中的重要作用出发,提出提高动物检验检疫在食品安全中的水平的有关措施,以供参考。

关键词： 煤矿业   生产安全   生产检验  

摘要： 在煤矿生产活动中,只有把安全问题摆在首位才能获得持续的发展。矿山安全生产检测检验在矿山生产活动的安全方面发挥了重要作用,使矿山事故的发生率显著减少、生产的质量与效率明显提高。文章仔细梳理这些作为后盾支撑的体系在矿山安全生产中发挥的具体价值。

关键词： 糖尿病肾病   早期诊断   生化检验指标   诊断作用  

摘要： 目的分析生化检验指标在糖尿病肾病早期诊断中的作用及效果。方法选取2019年11月~2020年11月新汶矿业集团莱芜中心医院收治的46例早期糖尿病肾病患者(试验组)和46例需要进行健康体检的人员(对照组)的临床资料为研究对象进行回顾性分析。两组研究对象均开展生化检验,检测项目包括血清肌酐(Cr)、血尿素氮(BUN)以及血清胱抑素C(CysC),观察组间检测结果差异,同时比较试验组患者的单一生化检验指标检测阳性率和三项指标联合检测的阳性率。结果试验组患者的Cr指标明显高于对照组,BUN指标明显高于对照组,CysC指标明显高于对照组,差异有统计学意义(P<0.05)。试验组患者的Cr、BUN、CysC三项指标联合检测诊断阳性率明显高于单独一项指标检测阳性率,差异有统计学意义(P<0.05)。结论在糖尿病肾病早期诊断中,生化检验指标具有良好的诊断作用及效果,将各项生化检验指标联合应用于临床诊断检测可以进一步提高检测效果。

关键词： 现代仪器分析技术   刑事理化检验   实验教学  

摘要： 现代仪器分析技术在"刑事理化检验"中发挥着重要的作用,特别是在微量物证和毒品毒物的检验中成为必不可少的检测技术。将结合课堂教学和实践教学中面临的问题,针对现代仪器分析技术的发展状况、实战应用和面临的挑战展开讨论,提出利用现代仪器分析技术评为提高"刑事理化检验"实验教学质量的可行性对策。

关键词： bridge engineering   contract management   risk strategy  

摘要： In the current new form of social development, the relevant staff can effectively manage the contracts related to road and bridge construction cost, and put forward the corresponding analysis and countermeasures for the risks existing in its management center, so as to effectively control the overall construction cost to a certain extent, and at the same time, can also pre-judge the related risks that may occur in the process, so that the overall construction development presents a good development trend. In this regard, the relevant staff must form a comprehensive understanding of the relationship between road and bridge project cost and contract management under the new form, and analyze the risks and measures to a certain extent if they want to effectively achieve the above objectives.

关键词： 实践标准   逻辑标准   实践模式   中介  

摘要： 实践是检验真理的唯一标准,如何从方法论层面理解这一命题仍需要深入探讨。首先需要坚守实践是检验真理唯一标准的方法论信念,把这一标准的唯一性与其条件性和动态性辩证统一起来。其次在实践标准的前提下,辨析实证主义和证伪主义的方法论本质。最后,在实践检验过程中引入实践模式范畴,分析其在理论检验中的中介作用,深入探讨实践检验过程中的复杂性问题。

关键词： 乙型肝炎病毒   血清学检验   CLIA   ELISA   效果  

摘要： 目的观察、分析乙型肝炎病毒血清学检验中采取CLIA(化学发光免疫分析法)和ELISA(酶联免疫吸附法)的临床效果。方法选取2018年1月至2020年1月于本院就诊的疑似乙型肝炎病毒患者研究,统计86例,视实时荧光定量PCR检测所得结果为金标准,分别采用CLIA、ELISA就血清学标志物(表面抗原、e抗原、e抗体及核心抗原、表面抗体)展开测定,比较不同方法诊断效能,同时统计相关标志物的检出率。结果相比于ELISA检测,CLIA检测精准性、阴性预估值及敏感度明显提高,组间对比P<0.05,两组特异度、阳性预估值比较P>0.05;CLIA于血清学标志物检出率较ELISA高,组间对比P<0.05。结论乙型肝炎病毒血清学检验中采取CLIA(化学发光法)具较高的检出率,可辅助临床制订诊疗方案,并为预后评估提供有力依据,值得推广。

关键词： 无症状心肌缺血   血液指标检验   病情评估   预后监测  

摘要： 目的分析无症状心肌缺血(silent myocardial ischemia,SMI)患者进行血液指标检验评估病情严重程度的作用。方法以汕尾市海丰县梅陇镇中心卫生院2019年5月至2021年1月内收治的80例SMI患者为本次研究的观察组,并随机选取同期到院进行健康检查的50例志愿者为次研究的对照组,两组研究对象均进行血液指标检验,对比两组研究对象检验结果,并分析观察组患者不同Cohn分型的血清指标差异。结果两组研究对象PLT、PCT、MPV及PDW等血清指标比较,差异无统计学意义(P>0.05),但观察组患者的Hcy、CK-MB、cTnI及RDW等血清指标显著高于对照组(P<0.05),且观察组Ⅲ型患者的Hcy、CK-MB、cTnI及RDW等血清指标显著高于Ⅱ型患者(P<0.05),Ⅱ型患者显著高于Ⅰ型患者(P<0.05),提示,观察组Ⅰ型、Ⅱ型及Ⅲ型患者Hcy、CK-MB、cTnI及RDW等血清指标呈升高趋势。结论在SMI患者的病情评估中,检验患者血液指标具有较佳的应用价值,且可作为反映患者预后效果、评估患者当前疗效的检验方式,对完善患者的治疗方案,促进患者快速康复均具有积极意义。

关键词： Training   Feature extraction   Support vector machines   Image edge detection   Iterative methods   Data mining   Hyperspectral sensors   posteriori spatial feature   domain adaptation (DA)   iterative training sample updating (ITSU)   similarity measurement   training sample updating  

摘要： Acquiring training samples in remote sensing images is always expensive and time-consuming. As a consequence, it would be preferable if one domain without training samples (the target domain) could be classified given a priori knowledge from another domain (the source domain). In this letter, an iterative training sample updating (ITSU) approach is proposed based on a posteriori spatial feature extraction. First, the classifier is trained with initial training samples from the source domain and applied to the target domain, producing a preclassification map. Then, as an invariant feature, the a posteriori spatial features are extracted with a guided filter. Based on the spectral features and the a posteriori spatial features, a criterion measuring the similarity of the cross-domain samples is defined. New training samples from the target domain are assigned with pseudo-labels, and the original samples in the source domain are removed. Furthermore, the a posteriori spatial feature maps are fed back to the input images, and new classifiers are trained with an updated training sample set in the updated feature space. This procedure is repeated until the stopping rule is satisfied. Finally, the adapted classifier is obtained based on the updated training samples. The experimental results on three hyperspectral data sets indicated that ITSU achieved the best performance compared with the other two state-of-the-art methods.

关键词： Automatic labeling   building damage   multiregularization parameters   support vector machine (SVM)  

摘要： Previous applications of machine learning in remote sensing for the identification of damaged buildings in the aftermath of a large-scale disaster have been successful. However, standard methods do not consider the complexity and costs of compiling a training data set after a large-scale disaster. In this article, we study disaster events in which the intensity can be modeled via numerical simulation and/or instrumentation. For such cases, two fully automatic procedures for the detection of severely damaged buildings are introduced. The fundamental assumption is that samples that are located in areas with low disaster intensity mainly represent nondamaged buildings. Furthermore, areas with moderate to strong disaster intensities likely contain damaged and nondamaged buildings. Under this assumption, a procedure that is based on the automatic selection of training samples for learning and calibrating the standard support vector machine classifier is utilized. The second procedure is based on the use of two regularization parameters to define the support vectors. These frameworks avoid the collection of labeled building samples via field surveys and/or visual inspection of optical images, which requires a significant amount of time. The performance of the proposed method is evaluated via application to three real cases: the 2011 Tohoku-Oki earthquake-tsunami, the 2016 Kumamoto earthquake, and the 2018 Okayama floods. The resulted accuracy ranges between 0.85 and 0.89, and thus, it shows that the result can be used for the rapid allocation of affected buildings.