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关键词： 卫生理化   疾病预防控制   作用  

摘要： 现如今,随着社会文明和人类文明的进步,人们越来越关注医学健康的发展,我国国民的收入也逐渐升高,生活质量 也明显提高。随着医疗技术的发展,卫生理化在疾病预防控制中的运用已经越来越广泛。现如今,随着改革开放的深入和国 际化进程的推进,我国的疾病预防控制和卫生检验迎来了前所未有的机遇和挑战。作为预防医学中的一个重要检测手段,同 时也是重要学科,卫生检验主要以理化检验为主。卫生理化检验应用性极强,在临床医学检验的应用范围广。因此分析和研 究卫生理化在疾病预防控制中的作用就成为了有关专家和学者的燃眉之急。本文针对我国卫生理化检验中存在的问题展开了 讨论,并提出了一些方法,供读者参考。

关键词： 血液检验   贫血   鉴别   诊断  

摘要： 目的:探讨血液检验在贫血鉴别诊断中的作用。方法:随机选择50例贫血患者与25例健康体检者,根据患者的实际情况进行分类,将患者分为地中海贫血与缺铁性贫血。地中海贫血患者24例设为研究组A,缺铁性贫血患者26例设为研究组B,健康体检者设为对照组。观察所有参与研究者血液中的MCV、RBC、Hb、RDW、MCH以及RBC/MCV的情况,三组进行对比分析。结果:经过血液检验发现,研究组A组患者的RBC、RBC/MCV与研究组B、对照组相比,明显高于后两组,而研究组B患者的Hb、RBC明显高于研究组A与对照组,对照组血液中的MCH、MCV明显高于研究组A与研究组B,对比差异有统计学意义(P<0.05)。结论:在贫血的诊断中,采用血液检验的方法进行诊断,可诊断出贫血的类型,对治疗工作具有积极的意义。

关键词： 临床妇科   常规检验   作用  

摘要： 女性进行妇科常规临床检验活动,对妇科的常规检查将会使得患者对于自己的身体情况了解的更加深刻,即使是检测 结果显示正常,但是也可以使被检者了解一些关于妇科的常识和使得心里安宁,不必担心有疾病的隐患。而对于已经患有疾 病的女性而言,就可以到达早治疗早健康的效果,因此女性要改变传统观念,不排斥妇科常规临床检验,更加重视自己的健 康发展,促进生活质量的提高。本文对临床妇科常规检验的重要作用进行了分析。

关键词： 全血C反应蛋白   血常规   检验   儿科细菌性感染性疾病   诊断  

摘要： 目的探讨全血C反应蛋白与血常规联合检验在儿科细菌性感染性疾病中的诊断作用。方法 120例细菌性感染性疾病患儿作为研究对象,均分别进行全血C反应蛋白检验、血常规检验及全血C反应蛋白与血常规联合检验,比较三种检验方法诊断准确率。结果血常规检验细菌性感染性疾病的诊断准确率(63.33%)与全血C反应蛋白诊断准确率(65.83%)对比差异无统计学意义(P>0.05);而全血C反应蛋白与血常规联合检验的诊断准确率(92.50%)明显高于上述两种检验诊断准确率(P<0.05)。结论全血C反应蛋白与血常规联合检验在儿科细菌性感染性疾病中具有较高的诊断准确率,能够为临床医生制订治疗方案提供依据,值得在临床上进一步推广及采纳。

关键词： 血常规检验   缺铁性贫血   地中海贫血   作用  

摘要： 对血常规检查在贫血患者临床诊断中的应用价值进行分析。方法:取医院收治的缺铁性患者、地中海贫血患者 以及健康体检者各 15 例、10 例、30 例,对三组人员给予血常规检查,比较三组患者 RBC(红细胞) 、MCV(平均红细胞体积) 、 Hb(血红蛋白) 、MCH(红细胞血红蛋白量) 、RDW(红细胞分布宽度)以及 RBC/MCV 等指标变化情况。结果:Hb 与 RBC 指标上, 缺血性贫血患者明显低于地中海贫血患者、健康体检者,而 RBC、RBC/MCV 方面,地中海贫血患者高于缺血性贫血患者以及健 康体检者,在 MCV、MCH 指标上健康体检者最高,三组各指标比较,差异显著(P<0.05) ,有统计学意义。结论:血常规检查 用于贫血患者临床诊断中,可通过检查结果的差异与特征,用于贫血症状判断,应在临床实践中进行推广。

关键词： Rotation Forest   Kernel-based methods   Kernel Orthonormalized Partial Least Square   classification   hyperspectral data  

摘要： Kernel-based methods and ensemble learning are two important paradigms for the classification of hyperspectral remote sensing images. However, they were developed in parallel with different principles. In this paper, we aim to combine the advantages of kernel and ensemble methods by proposing a kernel supervised ensemble classification method. In particular, the proposed method, namely RoF-KOPLS, combines the merits of ensemble feature learning (i.e., Rotation Forest (RoF)) and kernel supervised learning (i.e.,Kernel Orthonormalized Partial Least Square (KOPLS)). In particular, the feature space is randomly split into K disjoint subspace and KOPLS is applied to each subspace to produce the new features set for the training of decision tree classifier. The final classification result is assigned to the corresponding class by the majority voting rule. Experimental results on two hyperspectral airborne images demonstrated that RoF-KOPLS with radial basis function (RBF) kernel yields the best classification accuracies due to the ability of improving the accuracies of base classifiers and the diversity within the ensemble, especially for the very limited training set. Furthermore, our proposed method is insensitive to the number of subsets.

关键词： cumaceans   fish larvae   gelatinous zooplankton   Gulf of Mexico   hypoxia   patchiness   zooplankton  

摘要： Plankton patch dynamics strongly influences rates of trophic transfer and many ecological processes, yet patchiness is poorly described, especially on fine-scales (cm to 10s of m). We deployed the In Situ Ichthyoplankton Imaging System beneath the Mississippi River plume to measure horizontal distributions of zooplankton across three depth zones (10, 25 and 35 m). We found that larval fishes were significantly aggregated in the shallow (10 m) and deep (35 m) waters, but were randomly distributed at 25 m. In contrast, gelatinous organisms were typically randomly distributed, but shrimps and chaetognaths showed a strong degree of aggregation on fine-scales at all depths. One deep-water transect (35 m) was marked by a ∼1.5-km zone of hypoxia (O2 < 2.0 mg L-1) that contained no larval fishes and few zooplankton that were otherwise abundant throughout the sampling area. The exceptions to this trend were the shrimps and cumaceans, which aggregated within the hypoxic zone, suggesting they were able to tolerate those conditions. Correlation analyses of zooplankton showed differing relationships of zooplankton abundance to physical variables among sampling depths; however, zooplankton were consistently positively correlated with one another, indicating the presence of taxonomically heterogeneous patches. [ABSTRACT FROM AUTHOR]

关键词： Breast cancer   Molecular subtyping   Proteomics   Transcriptomics   Mass spectrometry  

摘要： Background: Breast cancer is a complex and heterogeneous disease that is usually characterized by histological parameters such as tumor size, cellular arrangements/rearrangments, necrosis, nuclear grade and the mitotic index, leading to a set of around twenty subtypes. Together with clinical markers such as hormone receptor status, this classification has considerable prognostic value but there is a large variation in patient response to therapy. Gene expression profiling has provided molecular profiles characteristic of distinct subtypes of breast cancer that reflect the divergent cellular origins and degree of progression. Methods: Here we present a large-scale proteomic and transcriptomic profiling study of 477 sporadic and hereditary breast cancer tumors with matching mRNA expression analysis. Unsupervised hierarchal clustering was performed and selected proteins from large-scale tandem mass spectrometry (MS/MS) analysis were transferred into a highly multiplexed targeted selected reaction monitoring assay to classify tumors using a hierarchal cluster and support vector machine with leave one out cross-validation. Results: The subgroups formed upon unsupervised clustering agree very well with groups found at transcriptional level;however, the classifiers (genes or their respective protein products) differ almost entirely between the two datasets. In-depth analysis shows clear differences in pathways unique to each type, which may lie behind their different clinical outcomes. Targeted mass spectrometry analysis and supervised clustering correlate very well with subgroups determined by RNA classification and show convincing agreement with clinical parameters. Conclusions: This work demonstrates the merits of protein expression profiling for breast cancer stratification. These findings have important implications for the use of genomics and expression analysis for the prediction of protein expression, such as receptor status and drug target expression. The highly m

关键词： 木材检验技术   木材运输   作用  

摘要： 木材检验作为林业基础工作之一,其同时也是木材供产销过程中的重要环节。在木材运输检验中科学、合理的运用木材检验技术来检验木材,可以了解木材需求情况、可以及时发现违法运输珍贵木材等情况,从而保护我国深林资源,更好发展林业。基于此点,介绍了木材检验技术在木材运输检验中的作用,以期为林业管理人员提供有价值的借鉴和参考,促进林业经济良性的发展。

关键词： 痕迹检验技术   刑事技术体系   地位   作用  

摘要： 痕迹检验技术是一种可以对犯罪嫌疑人身份特征进行确认的科技技能,是公安机关常用的案件侦查技术,在刑事案件侦查技术当中具有非常重要的作用和地位,本文通过对痕迹检验技术的深入探讨和研究,了解其在刑事技术体系中的作用以及地位,希望以此对公安机关的案件侦破带来一定的帮助。