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关键词： 痕迹检验技术   刑事案件   侦查工作  

摘要： 目前痕迹检验技术在刑事案件侦查工作中有着非常广泛的应用,通过痕迹检验能够对犯罪现场的痕迹进行采集检验,从而更好的掌握犯罪人的犯罪活动。目前痕迹检验技术在刑事侦查中已经成了不可缺少的一项重要内容,对于提高刑事侦查的效率和质量也都有着非常重要的作用,因此对痕迹检验技术在刑事侦查工作中的应用研究也有着重要的意义。

关键词： Development   Epithelial-mesenchymal interaction   Microtissue   Spheroid   Three-dimensional cell culture   BRANCHING MORPHOGENESIS   ADHESION MOLECULES   E-CADHERIN   SALIVARY   EXPRESSION   MESENCHYME   LESSONS  

摘要： We present an experimental method allowing the production of three-dimensional organ-like structures, namely microtissues (MTs), in vitro without the need for exogenous extracellular matrix (ECM) or growth factors. Submandibular salivary glands (embryonic day ED14), kidneys (ED13) and lungs (ED13) were harvested from mouse embryos and dissociated into single cells by enzyme treatment. Single cells were seeded into special hanging drop culture plates (InSphero) and cultured for up to 14 days to obtain MTs. This strategy permitted full control of the quantity of seeded cells. The development of the MTs into organs was followed histologically and immunohistochemically. Well-organized epithelial structures surrounded by a basal lamina were formed, as confirmed by transmission electron microscopy. Expression of E-cadherin, vimentin, fibronectin and alpha-SMA was compared in organs and corresponding MTs by real-time quantitative polymerase chain reaction. Branching morphogenesis was induced in MTs (as shown by histology and immunostaining for fibronectin and perlecan) and was conserved even after 14 days of culture. MTs continued their development and their epithelial structures were comparable with those of the physiological organ at postnatal day 2 (PN2). Expression of aquaporins was investigated to obtain better support for the functional differentiation of epithelial cells. Histogenesis proceeded and led to the start of organogenesis. This experimental model might improve our knowledge of epithelial-mesenchymal histogenesis and can be employed to study development or cellular organization during the embryonic formation of organs.

关键词： Multi-category classification   Generalization error   Machine learning   Pattern recognition   UNIFORM-CONVERGENCE   LEARNABILITY  

摘要： In a recent paper, the authors introduced the notion of sample width for binary classifiers defined on the set of real numbers. It was shown that the performance of such classifiers could be quantified in terms of this sample width. This paper considers how to adapt the idea of sample width so that it can be applied in cases where the classifiers are multi category and are defined on some arbitrary metric space. (C) 2016 Elsevier Inc. All rights reserved.

关键词： Sparse Bayesian learning   Bayesian inference   Embedded feature selection methods   Relevance sample-feature machine (RSFM)   Fast marginal likelihood maximization   BAYESIAN-APPROACH   VECTOR MACHINE   POSE  

摘要： The recently proposed Relevance Sample-Feature Machine (RSFM) performs joint feature selection and classification with state-of-the-art performance in terms of accuracy and sparsity. However, it suffers from high computational cost for large training sets. To accelerate its training procedure, we introduce a new variant of this algorithm named Incremental Relevance Sample-Feature Machine (IRSFM). In IRSFM, the marginal likelihood maximization approach is changed such that the model learning follows a constructive procedure (starting with an empty model, it iteratively adds or omits basis functions to construct the learned model). Our extensive experiments on various data sets and comparison with various competing algorithms demonstrate the effectiveness of the proposed IRSFM in terms of accuracy, sparsity and run-time. While the IRSFM achieves almost the same classification accuracy as the RSFM, it benefits from sparser learned model both in sample and feature domains and much less training time than RSFM especially for large data sets. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： 食品检验   安全检测技术   放射性标记探针   核酸探针   核酸探针技术   PCR   单核细胞增多症李氏杆菌  

摘要： 在国家经济水平和居民生活质量不断提升的背景下,人们对于食品安全的重视程度也逐渐提升。同时,在相应的食品安全方面也得到很大发展,诞生一些新的食品安全的检测技术。较之常规的食品安全检测技术,新技术在时间、经费、准确性和操作简易度上都在很大程度上得到改善。基于此,以核酸探针和PCR技术应用于食品检验中的作用为中心展开细致的分析探讨,旨在提供核酸探针和PCR技术应用于食品检验的理论参考。

关键词： Classification of Parkinson disease   Optimal selection of speech samples   Multi-edit-nearest-neighbor algorithm (MENN)   Ensemble learning   Random forest (RF)   Decorrelated neural network ensembles (DNNE)   TELEDIAGNOSIS   DIAGNOSIS  

摘要： Background: The use of speech based data in the classification of Parkinson disease (PD) has been shown to provide an effect, non-invasive mode of classification in recent years. Thus, there has been an increased interest in speech pattern analysis methods applicable to Parkinsonism for building predictive tele-diagnosis and tele-monitoring models. One of the obstacles in optimizing classifications is to reduce noise within the collected speech samples, thus ensuring better classification accuracy and stability. While the currently used methods are effect, the ability to invoke instance selection has been seldomly examined. Methods: In this study, a PD classification algorithm was proposed and examined that combines a multi-edit-nearest-neighbor (MENN) algorithm and an ensemble learning algorithm. First, the MENN algorithm is applied for selecting optimal training speech samples iteratively, thereby obtaining samples with high separability. Next, an ensemble learning algorithm, random forest (RF) or decorrelated neural network ensembles (DNNE), is used to generate trained samples from the collected training samples. Lastly, the trained ensemble learning algorithms are applied to the test samples for PD classification. This proposed method was examined using a more recently deposited public datasets and compared against other currently used algorithms for validation. Results: Experimental results showed that the proposed algorithm obtained the highest degree of improved classification accuracy (29.44%) compared with the other algorithm that was examined. Furthermore, the MENN algorithm alone was found to improve classification accuracy by as much as 45.72%. Moreover, the proposed algorithm was found to exhibit a higher stability, particularly when combining the MENN and RF algorithms. Conclusions: This study showed that the proposed method could improve PD classification when using speech data and can be applied to future studies seeking to improve PD classification

关键词： 超敏C反应蛋白   脑出血   昏迷  

摘要： 目的：分析超敏C反应蛋白增高在脑出血昏迷患者检验中的应用。方法：取我院2014年11月-2015年11月收治的脑出血患者70例,根据患者的临床症状表现情况分成两组,各35例。观察组为昏迷的患者,参照组为未昏迷的患者。应用同一方法在患者入院当天、入院7~9d和入院21d分别测定两组C反应蛋白含量,分析超敏C反应蛋白增高情况。结果：检查结果显示,接受临床治疗的7-9d,两组患者超敏C反应蛋白浓度指标及肺部感染发生率指标数据差异显著,均存在统计学意义（P〈0.05）。结论：超敏C反应蛋白指标数值的变化情况能够判断患者是否出现肺部感染,能够对患者采取及时有效的治疗措施,在临床检查中应用具有重要意义。

关键词： 检验   临床   医患纠纷  

摘要： 探讨医学检验与临床紧密的沟通和联系,对防范医患纠纷中的作用。方法:分析2014年3月-2016年3月检验科《检验与临床联系报告登记及处理记录》发现,通过与临床联系,有效控制了多起错误检验报告的发出,纠正了多起错误的治疗方案。结论:加强检验与临床的沟通可有效防范医患纠纷。