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关键词： Ultraviolet light emitting diode   Fluorescence spectroscopy   Raspberry Pi   Saturate, aromatic, resin, and asphaltene contents   Oil spill   Support vector machine  

摘要： Oil spills can be environmentally devastating and result in unintended economic and social consequences. An important element of the concerted effort to respond to spills includes the ability to rapidly classify and characterize oil spill samples, preferably on-site. An easy-to-use, handheld sensor is developed and demonstrated in this work, capable of classifying oil spills rapidly on-site. Our device uses the computational power and affordability of a Raspberry Pi microcontroller and a Pi camera, coupled with three ultraviolet light emitting diodes (UV-LEDs), a diffraction grating, and collimation slit, in order to collect a large data set of UV fluorescence fingerprints from various oil samples. Based on a 160-sample (in 5x replicates each with slightly varied dilutions) database this platform is able to classify oil samples into four broad categories: crude oil, heavy fuel oil, light fuel oil, and lubricating oil. The device uses principal component analysis (PCA) to reduce spectral dimensionality (1203 features) and support vector machine (SVM) for classification with 95% accuracy. The device is also able to predict some physiochemical properties, specifically saturate, aromatic, resin, and asphaltene percentages (SARA) based off linear relationships between different principal components (PCs) and the percentages of these residues. Sample preparation for our device is also straightforward and appropriate for field deployment, requiring little more than a Pasteur pipette and not being affected by dilution factors. These properties make our device a valuable field-deployable tool for oil sample analysis.

关键词： 技术服务部   营业执照   检验检测机构   处罚决定   市场监管工作   行政执法人员   身份证号码   执法检查  

摘要： ×市市场监督管理局行政处罚决定书×市监罚字[2019]×号当事人:××地矿技术服务部主体资格证照名称:营业执照营业执照注册号:略住所:略经营者:田××身份证号码:略联系电话:略联系地址:略2019年8月14日,××市市场监督管理局行政执法人员依据×市监[2019]×号《2019年××市市场监管工作要点的通知》要求,依法对位于××市益寿路的××地矿技术服务部(以下简称“你服务部”)进行执法检查。

关键词： 食品安全   粮油检验监督   作用  

摘要： 作为国有控股粮食购销企业的食品安全监督人员,必须切实发挥自身在粮油检验监督中的作用,以达到确保食品安全的目的。为此,结合国有控股粮食购销企业食品安全监督工作的实践,对粮油检验监督在食品安全中的作用进行梳理,并提出加强粮油检验监督的对策。

关键词： 护理质量控制   临床血液标本   合格率   采集   送检  

摘要： 目的探讨在临床血液标本的检验过程中辅以护理质量控制,分析实施后的效果。方法选择我院从2018年1月至2019年12月这一时间段的500份血液标本。根据护理质量控制时间先后顺序,对照组是从2018年1月截止到12月期间共检验的260份血液标本,将2019年1月至12月期间检验的240份血液标本作为观察组。对照组护理人员采集血液标本后,进行常规采血、送检操作,观察组护理人员在标本分析前进行护理质量控制方法,对比两组血液标本检测的合格率差异情况。结果观察组的标本合格率为99.58%(239/240),对照组标本的合格率为89.23%(232/260),与对照组相比,观察组血液标本的送检合格率更高,P<0.05。结论在临床血液标本的检验过程中辅以护理质量控制,可提高标本合格率,值得临床推广应用。

关键词： 供用电合同   供电企业   违约责任   电力法律法规   合同约定   制裁   承担形式  

摘要： 供用电合同违约责任的承担形式,是指违约的当事人按法律法规的规定或合同约定,应当承受的制裁形式。电力法律法规及规章对供用电合同违约责任的具体规定,归纳起来主要有以下几方面。1电力运行事故责任由于供电企业电力运行事故造成用户停电的.

关键词： 头颈部恶性肿瘤   检验诊断   生物治疗   心理疾病   康复治疗   心理干预   相关检验   副作用  

摘要： 调查显示,头颈部恶性肿瘤发病人数呈逐年上升趋势,已经成为世界上第六大常见癌症,同时也是全球第八大致死性癌症。我国头颈部恶性肿瘤的发病率>5%,其主要的治疗方式为手术和化疗。有超过70%的患者需要在治疗过程中同步进行放疗、生物治疗等联合康复治疗。在整个治疗过程中,患者一般会有较为严重的副作用,再加上自身外观的变化,极易导致患者产生相关心理疾病。

关键词： 糖尿病   凝血四项   血脂水平   检验方法   并发症  

摘要： 目的分析研究糖尿病患者凝血四项检验及血脂检验的方法及临床价值。方法选择本院于2016年7月至2018年7月收治的2型糖尿病患者92例作为研究资料,均行凝血四项检验和血脂检验,为观察组,另选择同时间段本院接收的健康体检者92例作为对照组,行凝血四项检验和血脂检验检测,比较两组凝血四项指标(血浆纤维蛋白原、血浆凝血酶原时间、部分凝血活酶时间及凝血酶时间)和血脂指标(三酰甘油、总胆固醇、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇)。结果观察组凝血四项指标血浆纤维蛋白原、血浆凝血酶原时间、部分凝血活酶时间及凝血酶时间与对照组各指标比较均差异显著,P <0.05;观察组三酰甘油,总胆固醇,高密度脂蛋白胆固醇,低密度脂蛋白胆固醇与对照组各指标比较均差异显著,P <0.05。结论针对糖尿病患者加强凝血四项检验和血脂检验对评估其凝血异常情况、血脂异常情况具有较高价值,实现相关并发症尽早发现,尽早防范,利于预后,值得推广。

关键词： 医学检验   高等教育   产学结合  

摘要： 医学检验高等教育在我国发展迅速,但随着市场经济的发展和社会的进步,医学检验高等教育呈现出一些"不适应"。产学结合为医学检验人才培养提供了新思路。文章在产学结合的背景下,结合医学检验专业教育现状和存在的问题对医学检验专业产学结合的重大意义、存在的问题及发展策略进行了深入的探讨,旨在促进医学检验教育产学结合的可持续发展。

关键词： Affinity propagation   Sample entropy   EEMD   Intrinsic mode functions   Bearing fault signal classification   EMPIRICAL MODE DECOMPOSITION   FEATURES   EMD  

摘要： For bearing fault signal classification, the performance of the affinity propagation (AP) method is limited by its way of measuring similarity. In this paper, we have proposed an improved version for the AP method, which is termed as IMFSE-AP. The key point of the proposed IMFSE-AP method is the improvement on the way of measuring signal similarity. Instead of the Euclidean distance, a novel method based on the sample entropy of IMFs (IMFSE) is proposed, which can measure signal similarities better with respect to data complexity. In the proposed similarity measurement method, signals are first decomposed into IMFs by the EEMD method. Then the distances of sample entropy vectors of IMFs are computed to evaluate similarities between signals. Numerical experiments conducted on synthetic signals and real bearing fault signals illustrate the good performance of the proposed method. (C) 2020 Elsevier Inc. All rights reserved.

关键词： EMSLIBS contest   Chemometrics   Laser-induced breakdown spectroscopy (LIBS)   Machine learning   Classification benchmark  

摘要： We present results of the classification contest organized for the EMSLIBS 2019 conference. For this publication, we chose only the five best approaches and discussed their algorithm in detail. The main focus of the contest reflected both recent and long-term challenges of Laser-Induced Breakdown Spectroscopy (LIBS) data processing. The contest was designed with a purpose to raise a challenge in handling and processing a very large dataset, containing high-dimensional elemental spectra. For the contest, 138 samples were measured using a lab-based LIBS system. In total, the data set consisted of 70,000 spectra, separated into 12 classes according to their elemental composition. Due to its extensivity and complexity, the data set is unique within the LIBS community. The central idea was to simulate the so-called "out-of-sample" classification (i.e. according to similar elemental composition), implying various real-world applications. Even more, it reflects the current level of expertise in the LIBS community and the capability of the LIBS method itself.