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关键词： 临床检验   检验项目   待测物   检验报告   自动化方向   《临床检验基础》   治疗方案  

摘要： 临床检验可通过对患者的血液、细胞及尿液等组织的检验,得出相关待测物数据,从而来分析病情并且根据患者的具体情况来制定有针对性的治疗方案。无论是医生还是患者以及家属都会在治疗前进行检验报告的分析,因此临床检验对疾病的诊治起着至关重要的作用,近几年来,各级医院逐渐重视临床检验的发展,许多检验项目都开始朝着自动化方向发展,检验项目也逐渐多样化,更加全面、更加精细。

关键词： 糖尿病肾病   生化检验   诊断  

摘要： 目的探讨生化检验指标在糖尿病肾病早期诊断中的作用。方法选取我院检验科于2018年10月至2019年10月接收的60例糖尿病肾病患者作为实验组,再选取60例健康者作为对照组,对所有实验对象均进行生化检验,对C反应蛋白(CRP)、糖化血红蛋白(HbA1c)、血清胱抑素C(CysC)、尿素蛋白/尿肌酐(UALB/Cr)和尿微量白蛋白(MAU)的生化指标进行检测,并对比分析。结果经过生化检验后,实验组的CRP为(8.69±2.18)mg/L、HbA1c为(7.69±0.35)%、CysC为(1.93±0.48)mg/L、UALB/Cr为(64.32±7.10)mg/g、MAU为(21.95±9.37)mg/L,对照组的CRP为(2.01±0.47)mg/L、HbA1c为(5.11±0.43)%、CysC为(0.79±0.28)mg/L、UALB/Cr为(4.98±2.36)mg/g、MAU为(10.96±6.50)mg/L,实验组明显高于对照组(P<0.05)。结论生化检验可用于临床上糖尿病肾病的早期诊断,可在临床上加以应用推广。

关键词： 农产品   品牌建设   检验检测  

摘要： 近年来,酒泉市在原有的传统农产品生产(养殖)发展模式下,重点推进戈壁生态农业的发展,目前全市高效蔬菜、水果、特色中药材等优势特色农产品产业面积约221万亩,占耕地面积的84.2%。特色农产品品牌建设势必会成为农产品销出去、走出去的必经之路。检验检测作为农产品质量安全管控的重要手段,该如何较好的服务于农产品品牌建设,需求重点研究。

关键词： 抵押意愿   土地确权   土地流转   市民化   Probit模型  

摘要： 通过建立Probit模型分析了天津市615份调查农户的土地承包经营权抵押贷款意愿,结果表明土地确权对农民的抵押意愿具有显著的正影响,并且同时进行了土地确权和土地流转的农民具有更高的抵押意愿,若两个项目启动的顺序不同,则抵押意愿的提高幅度也不同。在没有进行流转仅进行确权、进行流转后再进行确权以及先进行确权再进行流转这三种情况下,分别会提高抵押意愿8.52、18.20和26.09个百分点。另外通过打破"城乡二元体制"以增加农户的市民化意愿,则会进一步提高抵押意愿。

关键词： Adolescence   Externalizing   Psychopathology   Reward-conditioning   Inhibitory control   fMRI   VENTROMEDIAL PREFRONTAL CORTEX   ANTISOCIAL-BEHAVIOR   RESPONSE-INHIBITION   INDIVIDUAL-DIFFERENCES   DECISION-MAKING   BASAL GANGLIA   BRAIN   CHILDREN   DISINHIBITION   ACTIVATION  

摘要： During adolescence, rapid development and reorganization of the dopaminergic system supports increasingly sophisticated reward learning and the ability to exert behavioral control. Disruptions in the ability to exert control over previously rewarded behavior may underlie some forms of adolescent psychopathology. Specif-ically, symptoms of externalizing psychopathology may be associated with difficulties in flexibly adapting behavior in the context of reward. However, the direct interaction of cognitive control and reward learning in adolescent psychopathology symptoms has not yet been investigated. The present study used a Research Domain Criteria framework to investigate whether behavioral and neuronal indices of inhibition to previously rewarded stimuli underlie individual differences in externalizing symptoms in N = 61 typically developing adolescents. Using a task that integrates the Monetary Incentive Delay and Go-No-Go paradigms, we observed a positive association between externalizing symptoms and activation of the left middle frontal gyrus during response inhibition to cues with a history of reward. These associations were robust to controls for internalizing symptoms and neural recruitment during inhibition of cues with no reward history. Our findings suggest that inhibitory control over stimuli with a history of reward may be a useful marker for future inquiry into the development of externalizing psychopathology in adolescence.

关键词： LIBS   Infrared spectroscopy, pharmaceutical packaging   Counterfeit pharmaceuticals   Spectroscopy   FORENSIC ANALYSIS   DISCRIMINANT-ANALYSIS   RAMAN-SPECTROSCOPY   LIBS  

摘要： The identification of counterfeit pharmaceutical packaging is a complex problem that often requires multiple physical or chemical analyses. In this study, LIBS and ATR-FTIR were used as fast and non-invasive methods to classify pharmaceutical paperboard packaging sample into an authentic group or belonging to one of five counterfeit counterpart packaging sources. The collection set consisted of 124 external pharmaceutical packages, originating from 6 authentic sources (n = 12 packages) and 3 to 5 counterfeit sources per product (n = 112 packages). Orthogonal methods, such as LIBS and ATR-FTIR, were especially advantageous for classification purposes because they reveal chemical information of the organic and inorganic components of the package ink. Different ink colors from the logo, text, barcodes, and images were tested; additionally, the paperboard sample substrate was analyzed with ATR-FTIR. After data reduction via Principal Component Analysis, two supervised machine learning classification techniques were used for classification: k-Nearest Neighbors, and Linear Discriminant Analysis. A random 60:40 split of the data was used for training and testing the algorithms. Across all analyzed ink types, correct classification rates above 70% (LIBS) and 85% (ATR-FTIR) were observed. Data fusion of the two complementary methods improved the results, providing correct classifications ranging from 90 to 100% depending on the classifier and the pharmaceutical package. The results demonstrate that the elemental information obtained by LIBS and the chemical composition by ATR-FTIR are complementary and provide practical alternatives for fast screening of counterfeit secondary packaging.

关键词： Feature selection   Sample classification   Gene ontology (GO)   Protein protein interaction network   Multi-view clustering   Multi-objective optimization   UNSUPERVISED FEATURE-SELECTION   VALIDATION   ALGORITHM  

摘要： BackgroundIn the field of computational biology, analyzing complex data helps to extract relevant biological information. Sample classification of gene expression data is one such popular bio-data analysis technique. However, the presence of a large number of irrelevant/redundant genes in expression data makes a sample classification algorithm working inefficiently. Feature selection is one such high-dimensionality reduction technique that helps to maximize the effectiveness of any sample classification algorithm. Recent advances in biotechnology have improved the biological data to include multi-modal or multiple views. Different 'omics' resources capture various equally important biological properties of entities. However, most of the existing feature selection methodologies are biased towards considering only one out of multiple biological resources. Consequently, some crucial aspects of available biological knowledge may get ignored, which could further improve feature selection *** this present work, we have proposed a Consensus Multi-View Multi-objective Clustering-based feature selection algorithm called CMVMC. Three controlled genomic and proteomic resources like gene expression, Gene Ontology (GO), and protein-protein interaction network (PPIN) are utilized to build two independent views. The concept of multi-objective consensus clustering has been applied within our proposed gene selection method to satisfy both incorporated views. Gene expression data sets of Multiple tissues and Yeast from two different organisms (Homo Sapiens and Saccharomyces cerevisiae, respectively) are chosen for experimental purposes. As the end-product of CMVMC, a reduced set of relevant and non-redundant genes are found for each chosen data set. These genes finally participate in an effective sample *** experimental study on chosen data sets shows that our proposed feature-selection method improves the sample classification accuracy and

关键词： 费式粒度   燃烧速率   金属固体   分类  

摘要： 易燃化工品造成的安全事故频发,对工业生产、管理及运输造成巨大的安全隐患。通过对不同费式粒度的易燃金属固体进行燃烧速率试验,得出费式粒度与金属固体的易燃性存在普遍性关系,即随着费式粒度的增大,金属易燃危险性也随之降低,为工业安全提供有效的理论支持。

关键词： 动物检疫   食品安全   作用  

摘要： 饲料食品添加剂和动物性药品的滥用是造成动物疫情、动物性食品安全问题的主要原因,对人类健康和动物饲料生产、出口造成严重影响,必须高度重视动物的检测和检疫,以确保食品安全。本文结合我国实际情况,分析总结动物食物安全的现状和影响动物食物安全的其他重要因素,论述动物食品检验和检疫对动物性食品安全的作用和重要性。

关键词： 生化检验指标   肝硬化   疾病诊断   作用  

摘要： 目的观察在肝硬化疾病诊断中生化检验指标的作用。方法选择2017年7月-2019年11月,在我院进行肝硬化诊治的患者41例作为观察组,选择同期在我院进行健康体检的人员41名作为对照组,对比两者之间各项生化检验指标情况。结果经研究结果显示,观察组研究人员ALT、AST、ALP等各项检验指标水平均明显高于对照组,差异对比具有统计学意义(P<0.05)。结论在肝硬化疾病的临床诊断当中,通过进行生化检验指标分析,可准确了解患者的疾病情况,为患者的疾病治疗和预后措施提供重要依据。因此,该方法具有良好的应用效果,值得被推广使用。