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关键词： 血清降钙素原水平检验   呼吸系统感染   治疗   作用  

摘要： 目的:探究血清降钙素原水平检验在呼吸系统感染治疗中的作用。方法:选取我院2016年8月-2017年8月期间进行健康体检的人员32例作为本次研究对象,设为对照组,并将同期收治的另外32例重度呼吸系统感染患者设为研究组1组,32例轻度呼吸系统感染患者为研究2组,对三组血清降钙素原水平进行检测。结果:研究组1组的血清降钙素原水平及APACHE-II评分结果显著高于研究2组、对照组,比较差异显著(P<0.05);而研究组2组的血清降钙素原水平、APACHE-II评分又显著高于对照组(P<0.05);在通过持续治疗干预后,研究1组、研究2组的各项临床指标均有所改善,对比差异有统计学意义(P<0.05)。结论:血清降钙素原水平能够在一定程度上反映出呼吸系统感染者的病情发展状况,有利于治疗方案的制定,并对预后效果进行判定。

关键词： 血液检验   贫血   鉴别诊断   作用  

摘要： 目的评价分析血液检验在贫血鉴别诊断中的临床应用价值。方法选择2016年8月~2017年9月于我院就诊的8000例患者作为此次研究的贫血组,同时选择此时间段于我院进行健康体检的8000例健康人员作为此次研究的健康组,两组人员都需进行血液检验。记录对比两组人员的血液检验相关指标。结果根据血液检验结果显示,贫血组患者的Hb、RBC、MCH、RBC/MCV四项指标水平显著低于健康组人员(P<0.05),贫血组患者的MCV、RDWCV两项指标水平显著高于健康组人员(P<0.05)。结论血液检验在贫血鉴别诊断中的诊断率比较高,有利于贫血患者及早进行诊断与治疗。

关键词： 农作物种子质量检验   项目   作用   管理  

摘要： 农作物种子质量检验工作在农业种植中有着重要作用,是保证农业生产质量和产量的第一步。做好种子质量检验工作,有利于改善农业种植中发芽率较低的问题,从而提高农业生产的效益,促进农业事业的整体发展。

关键词： 劳动力转移   全要素生产率   非农部门资本深化程度   作用机制   再检验  

摘要： 在以人为核心的新型城镇化建设背景下,劳动力转移对经济增长的作用是毋庸置疑的。这一作用机制在理论上得到了较为充分的验证,但缺乏实证数据的检验。文章基于DEA-Malmquist指数法测算出表征经济增长的全要素生产率,并基于华东地区的数据构建PVAR模型对劳动力转移驱动经济增长的作用机制进行再检验。研究结果显示:劳动力转移是经济增长的格兰杰原因,劳动力转移可以直接驱动经济增长;同时,劳动力转移也可以通过影响非农资本深化程度间接推动经济增长。

关键词： Classical logic   Classification   Computational intelligence   Fuzzy Logic   Meat   Pattern recognition  

摘要： Meat classification methods are commonly based on quality parameters standardized by numeric ranges. However, some animal samples from different production chains do not match the current grades proposed. These unclassifiable samples are not capable to fit into a standard created by crisp range of values due to being infeasible toward its definition. An alternative to handle this kind of sample classification is the fuzzy logic, which could deal with uncertainty and ambiguity degree like human reasoning. In this work, we compare the traditional classification method and fuzzy approaches with the objective to handle the infeasible samples. This was compared to traditional pork standards using eleven real-life datasets with a total of 1798 samples described by pH, water holding capacity and/or L* value. The results demonstrated that traditional classification could not predict the unclassifiable samples. On the other hand, the fuzzy approaches improve significantly the number of classified samples. Performance of the fuzzy approaches were compared with several machine learning algorithms, but no significant statistical difference was observed. Finally, a real-life study case was explored, highlighting some advantages and further achievements of the fuzzy modeling.

关键词： EUTROPHICATION   CYANOBACTERIAL blooms   ALGAL biofuels   ISOTOPE geology  

摘要： Recent research has highlighted how Lake Baikal, Siberia, has responded to the direct and indirect effects of climate change (e.g., ice-cover duration), nutrient loading, and pollution, manifesting as changes in phytoplankton/zooplankton populations, community structure, and seasonal succession. Here, we combine and compare analyses of chlorophyll a (an estimate of total algal biomass), carotenoid pigments (biomarkers of algal groups), and lake water silicon isotope geochemistry (delta Si-30(DSi)) to differentiate spatial patterns in dissolved silicon (DSi) uptake at Lake Baikal. A total of 15 sites across the three basins (south, central, and north) of Lake Baikal were sampled in August 2013 along a depth gradient of 0-180 m. Strong, significant correlations were found between vertical profiles of photic zone DSi concentrations and delta Si-30(DSi) compositions (r = -0.81, p < 0.001), although these are strongest in the central basin aphotic zone (r = -0.98, p < 0.001). Data refute the hypothesis of DSi uptake by picocyanobacteria. Algal biomass profiles and high surface delta Si-30(DSi) compositions suggest greater productivity in the south basin and more oligotrophic conditions in the north basin. delta Si-30(DSi) signatures are highest at depth (20 m) in central basin sites, indicating greater (10-40%) DSi utilization at deep chlorophyll maxima. DSi limitation occurs in the pelagic central basin, probably reflecting a high diatom biomass bloom event (Aulacoseira baicalensis). Meanwhile in the more hydrologically restricted, shallow Maloe More region (central basin), both high delta Si-30(DSi) compositions and picocyanobacteria (zeaxanthin) concentrations, respectively point to the legacy of an "Aulacoseira bloom year" and continuous nutrient supply in summer months (e.g., localized eutrophication).

关键词： Elemental content   Wine samples   Geographical origin   South America   Feature selection  

摘要： This paper proposes an approach for feature selection aimed at classifying wines samples according to place of origin. The method relies on Kruskal-Wallis non-parametric test to remove non significant features, and Linear Discriminant Analysis to derive a feature importance index. The ranked features according that index are iteratively added and classification performance is assessed after each insertion. The number of selected features is chosen according the maximum accuracy in a repeated 10-fold cross-validation. Aiming at improving cate-gorization accuracy, different classification techniques are tested. When applied to a wine dataset comprised of 53 samples from four South America countries (Argentina, Brazil, Chile, and Uruguay) and 45 chemical elements concentrations determined by ICP-OES and ICP-MS, the proposed framework yielded average 99.9% accurate classifications in the testing set, and retained average 6.73 of the 45 original elements. Retained chemical ele-ments were then qualitatively assessed.

关键词： Mapping   particle filtering   spectral feature fitting   spectral hourglass wizard  

摘要： Hyperspectral imaging (HSI) and classification are established methods that are being applied in new ways to the analysis of nanoscale materials in a variety of matrices. Typically, enhanced darkfield microscopy (EDFM)-based HSI data (also known as image datacubes) are collected in the wavelength range of 400-1000 nm for each pixel in a datacube. Utilising different spectral library (SL) creation methods, spectra from pixels in the datacube corresponding to known materials can be collected into reference spectral libraries (RSLs), which can be used to classify materials in datacubes of experimental samples using existing classification algorithms. In this study, EDFM-HSI was used to visualise and analyse industrial cerium oxide (CeO2;ceria) nanoparticles (NPs) in rat lung tissues and in aqueous suspension. Rats were exposed to ceria NPs via inhalation, mimicking potential real-world occupational exposures. The lung tissues were histologically prepared: some tissues were stained with hematoxylin and eosin (H&E) and some were left unstained. The goal of this study was to determine how HSI and classification results for ceria NPs were influenced by (1) the use of different RSL creation and classification methods and (2) the application of those methods to samples in different matrices (stained tissue, unstained tissue, or aqueous solution). Three different RSL creation methods - particle filtering (PF), manual selection, and spectral hourglass wizard (SHW) - were utilised to create the RSLs of known materials in unstained and stained tissue, and aqueous suspensions, which were then used to classify the NPs in the different matrices. Two classification algorithms - spectral angle mapper (SAM) and spectral feature fitting (SFF) - were utilised to determine the presence or absence of ceria NPs in each sample. The results from the classification algorithms were compared to determine how each influenced the classification results for samples in different matrices. The resul

关键词： On-chip biosensor   Time-of-Flight Secondary Ion Mass   Spectrometry   Multi-component layers   Biofunctionalization   Indirect immunoassay   Binding stoichiometry  

摘要： Time-of-flight secondary ion mass spectrometry has been employed to examine, with biomolecular discrimination, sensing arm areas (20 mu m x 600 mu m) of integrated onto silicon chips Mach-Zehnder interferometers aiming to optimize their biofunctionalization with regard to indirect immunochemical (competitive) detection of ochratoxin A. Sensing areas are examined after: modification with (3-amino propyl) triethoxysilane, spotting of OTA-ovalbumin conjugate (probe) from solutions with different concentration, blocking with bovine serum albumin, reaction with OTA-specific mouse monoclonal antibody followed by goat anti-mouse IgG secondary antibody. Component mass loadings of all proteins involved in immunodetection are determined from TOF-SIMS micro-analysis combined with ellipsometry of planar surfaces. These data show that partial desorption of surface-bound probe and blocking protein takes place upon primary immunoreaction to a degree that depends on probe concentration in spotting solution. Taking into account this desorption, apparent binding stoichiometry of both antibodies in immune complexes formed onto chip surface is determined more accurately than the respective evaluation based on real-time sensor response. In addition, mass loadings for probe and secondary antibody is observed to saturate for optimum probe concentrations. Also, principal component analysis of TOF-SIMS data could resolve both immunoreactions and biofunctionalization and discriminate surfaces prepared with optimum probe concentrations from those prepared using suboptimum ones. (C) 2018 Elsevier B.V. All rights reserved.

关键词： 妇科   临床   常规检验  

摘要： 通过有目的性对妇科临床常规检验项目进行分析,并且采用适宜的预防方法,将会有助于减少妇科疾病的发病指数,对患病妇女的身体有很大的好处,而且也会提高生活质量。这对妇科临床检验的重要性进行分析,可以为妇科临床治疗提供大量的参考依据,有利于指导医师制定合理治疗方案,有助于大力推广和应用这种方法。