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关键词： 样品   采集   分类  

摘要： 区疾控中心卫生科承担着卫生行政部门、食品药品监管部门、上级疾控部门委托或布置的食品流通领域的食品样品、餐茶具消毒样品,农村饮用水安全工程监测和辖区集中式或分散式供水水质样品、医疗机构放射设备的放射防护监测及放射从业人员的体质监测样品、公共场所卫生监测样品的采样与送检和监测评价与检测报告书发送工作。

关键词： 包装材料   静电现象   绿色包装   科研人员   复合功能   面电阻率   金属系   经济环保   表面改性   导电高分子材  

摘要： 包装这门学科,对其材料的性能要求有时较苛刻,物理的、化学的、力学的、电学的等性能往往要同时满足,而且还要赋予特定的多功能,例如防静电、防电磁波等所谓的"双防"材料,甚至多防材料等。随着抗静电包装材料需求的增长以及社会对绿色包装的重视,研制具有高能动化、稳定性好、经济环保的复合功能材料给科研人员提出了更高的要求。

关键词： TCT   HPV   检验医师  

摘要： TCT、HPV检测复杂,常会出现一些看似矛盾难以解释的结果,造成临床医生对检测结果的不理解及临床与实验室间的矛盾,产生医患纠纷,目前在TCT和HPV的检测过程中,加成呢前和检测后的质量保证是检验科较为薄弱的环节。本文从保证TCT和HPV-DNA检测前和检测后的过程质量角度,探讨了检验医师应该如何成为实验室和临床之间沟通的桥梁。从而使得检验结果更加准确、可靠,并为宫颈癌的诊疗提供了充分有效的信息。

关键词： Mycobacterium tuberculosis   Microscopic imaging   Pattern recognition   Random forests   Support vector machines   MYCOBACTERIUM-TUBERCULOSIS   AUTOMATIC IDENTIFICATION   MICROSCOPY  

摘要： The World Health Organization suggests visual examination of stained sputum smear samples as a preliminary and basic diagnostic technique for diagnosing tuberculosis. The visual examination process requires much time of laboratorian, and also, it is prone to mistakes. For this purpose, this paper proposes a novel random forest (RF)-based segmentation and classification approaches for the automated classification of Mycobacterium tuberculosis in microscopic images of Ziehl-Neelsen-stained sputum smears obtained using a light-field microscope. The RF supervised learning method is improved to classify each pixel depending on local color distributions as a part of candidate bacilli regions. Therefore, each pixel is labeled as either a candidate tuberculosis (TB) bacilli pixel or not. The candidate pixels are grouped together using connected component analysis. Each pixel group is then rotated, resized and centrally positioned within a bounding box, respectively, in order to utilize appearance-based tuberculosis bacteria identification algorithms. Finally, each region is classified by using the proposed RF learning algorithm trained on manually marked TB bacteria regions in the training images. The algorithm produces results that agree well with manual segmentation and identification. Different two-class pixel and object classifiers are also compared to show the performance of the proposed RF-based pixel segmentation and bacilli objects identification algorithm. The sensitivity and specificity of the proposed classifier are above 75.77 and 96.97% for the segmentation of the pixels, respectively. It is also revealed that the sensitivity increases over 93% when the staining is performed in accordance with the procedure. Moreover, these measures are above 89.34 and 62.89% for the identification of bacilli objects. The results show that the proposed novel method is quite successful when compared to the other applied methods.

关键词： geographic object-based image analysis   segmentation   classification   sample supervised   spatial metrics   metaheuristics   IMAGE SEGMENTATION   GENETIC ALGORITHMS   FEATURE-SELECTION   RESOLUTION   SUPPORT   TOOL  

摘要： Quality segment generation is a well-known challenge and research objective within Geographic Object-based Image Analysis (GEOBIA). Although methodological avenues within GEOBIA are diverse, segmentation commonly plays a central role in most approaches, influencing and being influenced by surrounding processes. A general approach using supervised quality measures, specifically user provided reference segments, suggest casting the parameters of a given segmentation algorithm as a multidimensional search problem. In such a sample supervised segment generation approach, spatial metrics observing the user provided reference segments may drive the search process. The search is commonly performed by metaheuristics. A novel sample supervised segment generation approach is presented in this work, where the spectral content of provided reference segments is queried. A one-class classification process using spectral information from inside the provided reference segments is used to generate a probability image, which in turn is employed to direct a hybridization of the original input imagery. Segmentation is performed on such a hybrid image. These processes are adjustable, interdependent and form a part of the search problem. Results are presented detailing the performances of four method variants compared to the generic sample supervised segment generation approach, under various conditions in terms of resultant segment quality, required computing time and search process characteristics. Multiple metrics, metaheuristics and segmentation algorithms are tested with this approach. Using the spectral data contained within user provided reference segments to tailor the output generally improves the results in the investigated problem contexts, but at the expense of additional required computing time.

关键词： Word Choice   Performance validity   Recognition Memory Test.   TRAUMATIC BRAIN-INJURY   MONOSYLLABIC WORDS   TEST-PERFORMANCE   RESPONSE BIAS   HEAD-INJURY   NEUROPSYCHOLOGY   CONCRETENESS   REPLICATION   IMPAIRMENT   DEFICITS  

摘要： Word Choice (WC), a test in the Advanced Clinical Solutions package for Wechsler measures, was examined in two studies. The first study compared WC to the Recognition Memory Test-Words (RMT-W) in a clinical sample (N = 46). WC scores were significantly higher than RMT-W scores overall and in sample subsets grouped by separate validity indicators. In item-level analyses, WC items demonstrated lower frequency, greater imageability, and higher concreteness than RMT-W items. The second study explored WC classification accuracy in a different clinical sample grouped by separate validity indicators into Pass (n = 54), Fail-1 (n = 17), and Fail-2 (n = 8) groups. WC scores were significantly higher in the Pass group (M = 49.1, SD = 1.9) than in the Fail-1 (M = 46.0, SD = 5.3) and Fail-2 (M = 44.1, SD = 4.8) groups. WC demonstrated area under the curve of .81 in classifying Pass and Fail-2 participants. Using the test manual cutoff associated with a 10% false positive rate, sensitivity was 38% and specificity was 96% in Pass and Fail-2 groups with 24% of Fail-1 participants scoring below cutoff. WC may be optimally used in combination with other measures given observed sensitivity.

关键词： 血液检验   贫血鉴别   血液生化   贫血诊断   临床意义  

摘要： 目的:分析和探讨在贫血诊断的过程中血液检验具有的临床意义。方法:选择笔者所在医院2012年6月-2013年8月收治的血液检测的60例贫血患者鉴别诊断结果并进行讨论与分析,将缺铁性贫血的患者定为观察A组,并将地中海贫血的患者定为观察B组。其中缺铁性贫血的患者为28例,地中海贫血的患者为32例,并仔细观察两组患者临床血液检验情况,再选择40例健康成人作为对照组。并选择专业人员认真地对三组成员的MCV/RBC、RDW、RBC、MCH、MCV等指标进行观察。结果:60例患者中的外周血红蛋白、白细胞以及血小板等都显示异常,而在血液生化中,60例患者的MCV/RBC、RDW、RBC、MCH、MCV等指标均有异于对照组,差异有统计学意义(P<0.05)。结论:在贫血的诊断鉴别过程中,MCV/RBC、RDW、RBC、MCH、MCV等指标均可以帮助贫血诊断,还需要多方面的对患者进行血液检测,由此才可以有效地对贫血类型进行诊断。