A bioinformatics pipeline for high-throughput microbial multilocus sequence typing (MLST) analyses

Multilocus sequence typing (MLST) analysis for semi-routine applications is hindered by the downstream, manually intensive steps of processing the raw sequence data files. This report describes the development of an MLST pipeline that automates DNA sequence editing and analysis in order to significantly reduce the time required for processing data. Validation using a pneumococcal dataset revealed complete agreement between the results generated by manual and automated workflows. The MLST pipeline was developed for both double-strand and single-strand sequencing.     

大学生网络交往动机的差异研究

目的探讨大学生网络交往动机,为有效引导大学生认识和参与网络交往,同时为社会、学校、家长制定相应干预措施提供一定的心理依据。方法采用自编的大学生网络交往动机量表和Wrightsman编制的人性哲学量表—独立性分量表,对646名大学生的网络交往动机的差异进行研究。结果电大学生的网络交往动机更倾向于"交往/寻求帮助",而普通全日制高校学生更倾向于"消遣/娱乐";男生更倾向于"交往/寻求帮助"、"消遣/娱乐"、"好奇/追求时尚"、"网络优越感";理科学生更倾向于"交往/寻求帮助"、"网络优越感"、"消遣/娱乐"、"好奇/追求时尚";高年级大学生更倾向于"消遣/娱乐"、"好奇/追求时尚";独立性高的大学生网络交往的动机更倾向于"交往/寻求帮助"、"网络优越感"。结论大学生的网络交往动机因学校、专业、年级、性别、独立性人格特征不同而存在不同程度的差异。     

广州市越秀区儿童体格发育及健康影响因素调查分析

目的了解广州市越秀区7岁以下儿童体格发育现状及其健康影响因素,为进一步改善7岁以下儿童生长发育水平提供科学依据。方法根据中国妇幼保健中心2005年全国第四次儿童体格发育调查制定的要求,对越秀区4097名儿童进行体格发育检查及广州市制定的儿童健康影响因素流行病学问卷调查。评价儿童生长发育状况及采用非条件Logistic逐步回归分析的方法对儿童健康影响因素进行多因素分析。结果儿童低体重率、生长发育迟缓率、消瘦率、肥胖率分别为1.98%、1.03%、1.93%、3.69%;男童低体重率、消瘦率、肥胖率与女童无显著性差异（P〉0.05）;0～2岁儿童低体重率、生长发育迟缓率、消瘦率、3～6岁儿童肥胖率随年龄增加呈上升趋势（P〈0.01）;非条件Logistic回归分析发现,出生体重（P=0.001）、母亲文化（P=0.008）、辅食添加（P=0.002）、月收入（P=0.002）、追着喂食（P=0.001）、进食玩玩具（P=0.022）、经常感冒（P=0.045）等7个因素与儿童营养不良发生相关。讨论广州市越秀区儿童营养状况良好,但仍需加强对0～2岁儿童营养不良及3～6岁儿童肥胖抚养人的健康宣教和健康行为形成的早期干预。     

糖尿病患者心理健康状况的多因素Logistic回归分析

目的探讨糖尿病患者心理健康状况的影响因素。方法对山西省4个地区8个调查点的2132名城乡居民，其中包括139名糖尿病患者，进行问卷调查，了解其一般情况以及情绪状况、社会支持等社会心理因素。结果单因素分析发现，糖尿病患者的焦虑情绪高于非糖尿病者，对社会支持中的家庭资源的利用也不及非糖尿病者；多因素发现，影响糖尿病患者心理健康状况的因素有地区、性别、年龄、经济收入、焦虑以及抑郁等；结论糖尿病患者心理健康状况的影响因素既涉及地区、性别、年龄、经济收入等一般状况，也与患者的情绪障碍的社会支持有密切关系。临床应根据不同的影响因素进行有效牙心理干预。     

A组轮状病毒广州地方株VP7基因序列的比较分析

目的 了解我国轮状病毒G1型广州地方株与标准株及北京G1型地方株VP7基因序列的差异，为我国轮状病毒疫苗的研制提供资料。方法 通过逆转录—聚合酶链反应(RT—PCR)获得了轮状病毒广州地方株R97—196 VP7全基因的cDNA片段，将其克隆入T—A克隆质粒pUCm—T中，构建成重组质粒pUCmT—VP7，对克隆的VP7基因进行序列测定。结果 该地方株的基因核苷酸全长为1062nt，读码框架和以往的研究一致，和北京G1型地方株173的VP7氨基酸序列具有高度同源性(98％)，而与不同血清型标准株间则变异较大(73％—81％)，氨基酸序列中存在的一些高变区和保守功能区与已报道的研究结果一致。从进化角度分析，与轮状病毒标准株Wa株，相距较远。结论 轮状病毒广州地方株R97—196 VP7基因片段属G1型，轮状病毒VP7基因的变异与地域有一定关系。     

Analyzing Event-Related Potentials: The Utility of High and Low Pass Filtering in Improving the Relationship Between Various Amplitude Measures and Principal Components Analysis Factor Scores

The present investigation sought to determine whether the relationship between event-related potential (ERP) principal components analysis (PCA) factor scores and analogous waveform amplitude measures could be improved by high- and low-pass filtering the waveforms at a suitable cutoff value. Visual oddball ERPs were submitted to a varimax-rotated PCA performed on the variance/covariance matrix. Principal components corresponding to P300 and Slow Wave were obtained. In keeping with the fact that the variance/covariance PCA analyzes sources of variance around the grand mean waveform, the grand mean waveform was subtracted from each of the original waveforms, and baseline-referenced amplitude measurements were then made of P300 and Slow Wave. P300 was measured both as the maximum positive peak between 275 and 425 ms, and as the average amplitude during that interval. Slow Wave was measured as the average amplitude during the interval 400–700 ms. The P300 measurements were then repeated after high-pass filtering the difference waveforms at 2 Hz. Slow Wave measurements were repeated after low-pass filtering at 2 Hz. The value of 2 Hz was chosen as giving a reasonable cutoff based upon estimates of the wavelengths of the two components derived from inspection of their respective factor loading vectors. The correlation between factor scores and amplitude measurements was .94 for unfiltered Slow Wave and actually declined slightly but significantly to .91 when the waveforms were low-pass filtered. It would appear that Slow Wave factor scores emerging from a PCA can be fairly well approximated by a time-band measurement algorithm, and that this approximation is not improved by low-pass filtering. For both filtered and unfiltered measurements of P300, the amplitude/factor score correlation was significantly higher for the time-band method than for the peak method. Further, high-pass filtering at 2 Hz improved the time-band/factor score correlation significantly from .62 to .75. This improvement is probably because the unfiltered measurements were tapping sources of variance due both to the higher frequency P300 component as well as a simultaneously active, lower frequency Slow Wave component. Theoretical implications of these findings are discussed.     

Analysis of fMRI data by blind separation of data in a tiny spatial domain into independent temporal component

Independent Component Analysis (ICA) is a promising tool for the analysis of functional magnetic resonance imaging (fMRI) time series. In these studies, mostly assumed is a spatially independent component map of fMRI data (spatial ICA). In this paper, we assume that the temporal courses of the signal and noises are independent within a Tiny spatial domain (temporal ICA). Then with fast-ICA algorithm, spatially neighboring fMRI data were blindly separated into several temporal courses and were preassumed to be formed by a signal time course and several noise time courses where the signal has the largest correlation coefficient with the reference signal. The final functional imaging was completed for the signals obtained from each voxel. Simulations showed that compared with the spatial ICA method, the new temporal ICA method is more effective than the spatial ICA in detecting weak signal in a fMRI dataset. As background noise, the simulations include simulated Gaussian noise and fMRI data without stimulation. Finally, vivo fMRI tests showed that the excited areas evoked by a visual stimuli are mainly in the region of the primary visual cortex and that evoked by auditory stimuli are mainly in the region of the primary temporal cortex.     

类金刚石薄膜的碳相成分对其血小板黏附特性的影响

对不同工艺和条件制备的 7个类金刚石薄膜 (Diamondlikecarbon ,DLC)试样 ,经X光电子能谱 (XPS)碳相成分分析后 ,分别进行了血小板黏附实验、黏附血小板的形貌观察、分类计数和形态指数计算 ,并通过灰色关联分析 ,研究了碳相成分对血小板黏附量、黏附血小板的形态指数的影响。结果显示 :来自全方位离子注入离子束增强沉积工艺的DLC ,其血小板黏附量和形态指数明显小于等离子体化学气相沉积工艺制备的样品 ;在DLC的 5种碳相成分中 ,DLC碳相与血小板黏附量和形态指数的 (负 )关联度远大于其它碳相成分 ,除此之外只有C H和C O碳相与血小板形态指数的 (正 )关联度较大。表明 :(1)DLC碳相对血小板黏附的影响远较其它碳相成分为大 ,增加DLC碳相的含量是优化DLC血液相容性的关键所在 ;(2 )C H和C O碳相对黏附血小板的变形有促进作用 ,须从工艺上抑制其产生或尽可能降低其含量 ;(3)采用全方位离子注入离子束增强沉积工艺有助于改善DLC的血液相容性。这些结论对设计与改进DLC的制备工艺具有重要的指导意义。     

The role of surgery in transmitting ≪ post-transfusion hepatitis ≫

The role of surgery as an additional risk in transmitting post-transfusion hepatitis was investigated in a retrospective study on acute hepatitis occurring in 77 transfused patients, 293 transfused and operated patients and 243 hepatitis cases with history of surgery without transfusion.Hepatitis A patients admitted to the same centres in the same period were utilized as controls. In transfused patients the percentage of NANB hepatitis was higher than that of type B (61.0% vs. 36.4%), while in the operated not transfused group the percentage of type B was twice that of type NANB (63.4% vs. 32.5%).In transfused and operated cases intermediate values were observed. The age-adjusted measures of association between exposures and the different hepatitis types showed a lack of effect of transfusion and a dominant role of surgery in transmitting type B hepatitis. In contrast, NANB post-transfusional cases were actually a mixture of post-transfusional and post-surgical cases, since both these exposures were found to be significantly associated with the disease.Our results suggest that studies on the incidence and the etiology of post-transfusion hepatitis should take into account the risk of surgical exposure which might have occurred.Corresponding author.     

病例组合指数的内涵及应用探讨

国内普遍认为病例组合指数(CMI)属于医疗服务能力维度,体现收治疾病的疑难复杂程度和医疗服务的整体技术难度。通过结构方程模型分析发现,CMI与时间消耗指数、费用消耗指数等服务效率维度指标联系更紧密,与DRG组数、入组病例数及总权重等服务能力维度指标联系相对较弱,故应归属医疗服务效率维度。CMI的直接应用主要是对平均住院费用的预测控制及对科室绩效的评价;CMI的间接应用主要是对管理指标的调整/校正。医院管理者应准确把握CMI内涵,恰当应用CMI对不同层级及不同类别住院费用进行预测、评价与控制,并对其他管理指标进行调整后再评价。