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关键词： 生化检验   病因病机   肝硬化   臌胀  

摘要： 目的探讨生化检验项目运用在肝硬化疾病诊断中的临床效果及其中医病因。方法选取2015年9月—2016年12月收治的56例肝硬化患者为观察组,同期健康体检者60例为对照组,行生化检验,对比2组检测结果。结果观察组TP CHE和ALB水平明显低于对照组,ALT、γ-GT、TBIL、AST、DBIL、ACP水平明显高于对照组,差异有统计学意义(P<0.05)。结论中医学认为肝硬化疾病的发生与肝肾阴虚、脾肾阳虚、瘀血阻滞、湿热蕴结以及气滞湿阻等有关,及时行生化检验可以提高诊断准确率。

关键词： 食品检验检测实验   室质量量度  

摘要： 本文重点分析了食品检验检测实验室中质量量度的作用,为以后我国食品质量管理模式发展提出新的思维途径。

关键词： 国际危规   腐蚀性物质   分类   运输   包装  

摘要： 从定义、分类标准和分类方法等方面介绍了国际危规中8类腐蚀性物质的分类方式,主要服务于检测机构的分类工作,对企业如何根据准确的分类结果选择合适的包装,并进行规范的托运,确保运输的安全性给出建议。

关键词： 妇科炎症   感染   念珠菌   检验方法  

摘要： 目的探讨妇科炎症感染中念珠菌检验方法的临床应用价值。方法选2016年10月至2017年10月我院所收治的90例念珠菌阴道感染的妇科炎症患者作为观察对象,将90例患者分为A、B、C三组,A组采用镜检方法进行检验、B组采用凝集法进行检查、C组采用培养法进行检验,观察三组检验方法的临床效果。结果 A组检出阳性的患者有24例,B组检出阳性的患者有26例,C组检出阳性的患者有25例。三组检验方法进行比较,各数据差异并无统计意义(P> 0.05)。结论在妇科炎症感染中念珠菌检验的方法主要是镜检法、凝集法、培养法等方式,三种方法的阳性检测率相对较高,在临床疾病诊断当中具备重要的参考价值,在临床上具有重要意义。

关键词： 痕迹检验技术   刑事侦查   作用  

摘要： 痕迹检验技术是公安部门在推进侦查工作中比较常用的一种技术手段,因为后期所有的侦查工作都要借助痕迹检验的成果,可以说是整个侦查工作中的基础性工作。除了为侦查工作提供信息和数据外,痕迹检验技术还能提高侦查工作的效率,推进侦查工作的进程。但是在我国的刑事侦查工作中,对痕迹检验技术的运用还存在很多误区,这就给侦查工作的推进造成了很大的阻碍,因此强化对痕迹检验技术的认识是非常有必要的。本文结合痕迹检验技术在刑事侦查工作的应用,对其具体作用提出了自己的看法,仅供参考。

关键词： 卫生理化检验   疾病预防控制   作用   分析  

摘要： 当前,随着我国经济与社会的蓬勃发展,一些商家受到利益的驱使,在食品生产中大量使用化学添加剂或者有害物品,对公众的身体健康带来了严重的威胁,食品安全事件不断涌现,对我国社会的稳定带来一定程度的负面影响,卫生安全逐渐受到公众和社会的高度重视,理化检验作为控制疾病、食品检测的重要手段,其在预防以及检验食品安全中起到关键作用,同时也在预防和控制疾病中发挥了积极作用。因此,我国相关部门需要给予理化检验工作以高度重视,在实际工作中解放思想、更新设备、提升技术,切实发挥理化检验的功能与效应,为我国经济发展和社会稳定夯实基础。在此背景下,文章主要针对卫生理化检验在疾病预防控制中的作用进行分析和阐述,希望给予我国相关行业以参考和借鉴。

关键词： plasma target interaction   plasma dielectric interaction   plasma jet   electric field   surface charges   Mueller polarimetry   electro-optic crystals  

摘要： Numerical simulations and experiments are performed to better understand the interaction between a pulsed helium plasma jet and a dielectric target. The focus of this work lies on the volume and surface charge influence on the electric field distribution. Experimentally, the electric field due to surface charges is measured inside an electro-optic target under exposure of a plasma jet, using the optical technique called Mueller polarimetry. For the first time, the time-resolved spatial distributions of both the axial and radial components of electric field inside the target are obtained simultaneously. A 2D fluid model is used in a complementary way to the experiments in order to study separately the contribution of volume charges and surface charges to the spatio-temporal evolutions of the electric field during the plasma-surface interaction. The experimental investigation shows that the average axial and radial components of electric field inside the dielectric target, only due to surface charges, are lower than generally reported for electric field values in the plasma plume. Thanks to the phenomenological comparison with experiments, simulations show that during the plasma-surface interaction two effects sequentially determine the electric field inside the target: firstly, a relatively high electric field is observed due to the proximity of the ionization front;afterwards, in longer timescales, lower electric fields are induced due to the contribution of both leftover volume charges close to the target and surface charges deposited on its surface. The experimental technique provides a unique way to examine this second phase of the plasma-surface interaction.

关键词： remote sensing image   convolutional neural network   optimal parameter   lack of sample   tensor analysis  

摘要： Recent research has shown that spatial-spectral information can help to improve the classification of hyperspectral images (HSIs). Therefore, three-dimensional convolutional neural networks (3D-CNNs) have been applied to HSI classification. However, a lack of HSI training samples restricts the performance of 3D-CNNs. To solve this problem and improve the classification, an improved method based on 3D-CNNs combined with parameter optimization, transfer learning, and virtual samples is proposed in this paper. Firstly, to optimize the network performance, the parameters of the 3D-CNN of the HSI to be classified (target data) are adjusted according to the single variable principle. Secondly, in order to relieve the problem caused by insufficient samples, the weights in the bottom layers of the parameter-optimized 3D-CNN of the target data can be transferred from another well trained 3D-CNN by a HSI (source data) with enough samples and the same feature space as the target data. Then, some virtual samples can be generated from the original samples of the target data to further alleviate the lack of HSI training samples. Finally, the parameter-optimized 3D-CNN with transfer learning can be trained by the training samples consisting of the virtual and the original samples. Experimental results on real-world hyperspectral satellite images have shown that the proposed method has great potential prospects in HSI classification.

关键词： N mineralization   Nematodes   Soil biome   Microorganismos de la montana   Local effect microorganisms  

摘要： Culturing and using effective microorganisms from locally derived microorganisms has become a common practice employed by farmers throughout Central America as well as parts of South America and Southeast Asia to control foul odors and flies around compost piles and livestock facilities. These local, effective microorganisms (LEM) are applied in a concentrated solution fermented from carbohydrate-rich substrates inoculated with locally-sourced, actively decomposing leaf litter. Despite its growing prevalence among small-scale farmers in some parts of the world, there is little published research that explores the beneficial or detrimental effects of changing the biome of animal-based nutrients and the soils to which LEM are applied. The objectives of this study were to evaluate the effect of combining LEM with swine effluent to fertilize annual ryegrass (Lolium multiflontm) on plant-available nitrogen, nematode community structure, and forage productivity. Forage performance was good across all of the treatments - with relative feed quality (RFQ) values above 200 and 100 in the March and May harvests respectively. In the first, second and third sampling dates, soils from 0 to 5 cm depth showed more nitrogen mineralized in LEM-treated soils than in control soils (p = 0.178, p < 0.0001 and p = 0.027) respectively. After nutrient applications, soil-nematode community structure (0-10 cm) at the trophic group level changed over time. Most changes were similar between treatments, however, plant parasitic nematode populations were found to be significantly higher in LEM-treated plots in all but one of the sampling dates. LEM is gaining popularly as a natural amendment and although we have shown that it does increase N availability and changes trophic-level nematode community structure, more research is needed to optimize the potential of these benefits.

关键词： Object-based classifiers   Pixel-based classifiers   Landsat-8 imagery   Training sample size  

摘要： In this study, we used Landsat-8 imagery to test object- and pixel-based image classification approaches in an urban fringe area. For object-based classification, we applied four machine learning classifiers: decision tree (DT), naive Bayes (NB), random trees (RT), and support vector machine (SVM). For pixel-based classification, we utilized the maximum likelihood classifier (MLC). Specifically, we explored the influence of repeated sampling on classification results with different training sample sizes. We found that (1) except the overall accuracy of NB, those of the other four classifiers increased as the training sample size increased;(2) repeated sampling had a significant effect on classification accuracy, especially for the DT and NB classifiers;and (3) SVM achieved the best classification accuracy. In addition, the performance of the object-based classifiers was superior to that of the pixel-based classifier. The results of this study can provide guidance on the training sample size and classifier selection.