一种汽车空调控制器数据处理系统的设计

针对汽车空调控制器稳定性分析的需求,开发了一种空调控制器数据处理系统,使用Python语言对空调出风口温度性能曲线进行趋势提取以及数据分析,并通过Laravel框架搭建Web应用网站,实现对Python脚本的调用。工程师只需要通过网站上传测试数据,即可准确快速地得到可视化的图表结果,提升了空调控制器数据处理的效率。     

基于大数据平台的铁路电务专业数据可视化交互系统

铁路电务专业数据复杂、种类繁多、实时性较强,通过大数据平台对数据进行整合汇集、即时共享、可视化交互展现,可以更直观地分析数据,更有效地利用数据,进而及时发现并处理问题.基于大数据平台的铁路电务专业数据可视化交互系统基于大数据技术架构,利用前端可视化图形库,结合地理信息服务组件,为铁路电务专业不同类别的用户提供多维度、多...     

加快珠海高栏海铁联运发展的对策研究

加快发展海铁联运,对落实运输结构调整,改善生态环境,促进区域经济协调发展具有重要意义.文章在分析珠海高栏海铁联运现状的基础上,对珠海高栏发展海铁联运的优势、劣势及外部机遇、挑战进行SWOT分析.然后,以政策和环境为指导方向,针对珠海高栏的发展海铁联运特点,制定海铁联运发展战略.     

互通区主辅分离式高速公路辅道设计速度研究

为解决互通密集区主辅分离式高速公路的辅道设计速度选取问题,以广深高速公路深圳段为例,充分考虑道路条件、交通条件、驾驶员心理影响等因素,采用VISSIM仿真软件对不同主辅分离式车道分配方案下设计速度的适应性进行研究.结果表明:主辅分离式车道分配方案设计应保证车道分配比例与承载交通量比例吻合,辅道设计速度应低于主线设计速度...     

工业编组站解体车列选定的模糊综合评判

分析在工业编组站影响解体车裂选定的各种因素，从解体车列选定的模糊性入手，运用模糊数学的原理和方法对各因素从理论上进行定量分析，为工业编组站优选解体车列提出了一种量化方法，对模糊综合评判法中的关键问题权重进行确定，并通过举例对所提出算法进行验算。     

浅谈财务出纳管理信息系统的开发

通过对财务出纳管理信息系统的开发，讲述软件开发在实际工作中的重要作用。     

基因表达谱芯片技术筛选乙型肝炎病毒核心蛋白结合蛋白基因C1反式调节基因

目的对未知功能基因C1转染人肝母细胞瘤细胞系(HepG2)后的基因表达谱进行分析,探索该基因的表达对肝细胞基因表达谱的影响及其可能的调节功能线索。方法以分子生物学技术构建C1的真核表达载体pcDNA3.1(-)-C1,以表达质粒pcDNA3.1(-)-C1转染HepG2细胞,空载体pcDNA3.1(-)为平行对照,制备转染后的细胞裂解液,提取mRNA,逆转录为cDNA。应用基因表达谱芯片技术对差异表达的mRNA进行检测和分析。结果HepG2细胞经转染C1表达质粒后,有26条差异表达基因,其中24条基因表达水平下调,2条基因表达水平上调。这些差异表达的基因与细胞信号转导、凋亡、细胞增生分化及肿瘤的发生密切相关。结论应用基因表达谱芯片成功筛选了C1转染细胞后差异表达基因,为进一步阐明C1蛋白可能的生物学功能及乙型肝炎病毒核心蛋白的致病机制提供了理论依据。     

CB和MMP-9在上皮性卵巢肿瘤中的表达及相关性研究

目的检测组织蛋白酶B(cathepsin B,CB)与基质金属蛋白酶9(matrix metalloproteinase-9,MMP-9)在人类上皮性卵巢肿瘤中的表达,探讨两者与卵巢癌细胞的分化增殖、侵袭转移的关系。方法采用链霉素亲和生物素-过氧化物酶法(SP)进行免疫组织化学染色,用CB抗体、MMP-9抗体标记上皮性卵巢肿瘤组织标本,综合染色强度和阳性细胞占总体细胞数的百分比进行染色判定,结合有关病理特征进行分析。结果经统计学分析,CB、MMP-9在上皮性卵巢癌中的表达与年龄、病理类型无相关性(P>0.05),而与卵巢癌的临床分期、有无转移及腹水呈正相关(P<0.05);CB与卵巢癌的组织学分级呈正相关(P<0.05);上皮性卵巢癌中CB和MMP-9表达呈正相关(r=0.652,P<0.05)。结论CB、MMP-9与卵巢癌的恶性生物学行为密切相关,两者在其侵袭转移过程中发挥了重要的协同作用。     

自硬树脂砂ZH25叶片式振动混砂机的设计

本文对自硬树脂砂叶片式振动混砂机进行了详细的理论计算,并通过公式推导确定了振动混砂机的极限振次.制造的样机基本达到设计要求,且已通过鉴定.     

Classification decision tree algorithm assisting in diagnosing solitary pulmonary nodule by SPECT/CT fusion imaging

Objective To develop a classification tree algorithm to improve diagnostic performances of 99mTc-MIBI SPECT/CT fusion imaging in differentiating solitary pulmonary nodules (SPNs). Methods Forty-four SPNs, including 30 malignant cases and 14 benign ones that were eventually pathologically identified, were included in this prospective study. All patients received 99Tcm-MIBI SPECT/CT scanning at an early stage and a delayed stage before operation. Thirty predictor variables, including 11 clinical variables, 4 variables of emission and 15 variables of transmission information from SPECT/CT scanning, were analyzed independently by the classification tree algorithm and radiological residents. Diagnostic rules were demonstrated in tree-topology, and diagnostic performances were compared with Area under Curve (AUC) of Receiver Operating Characteristic Curve (ROC). Results A classification decision tree with lowest relative cost of 0.340 was developed for 99Tcm-MIBI SPECT/CT scanning in which the value of Target/Normal region of 99Tcm-MIBI uptake in the delayed stage and in the early stage, age, cough and specula sign were five most important contributors. The sensitivity and specificity were 93.33% and 78. 57e, respectively, a little higher than those of the expert. The sensitivity and specificity by residents of Grade one were 76.67% and 28.57%, respectively, and AUC of CART and expert was 0.886±0.055 and 0.829±0.062, respectively, and the corresponding AUC of residents was 0.566±0.092. Comparisons of AUCs suggest that performance of CART was similar to that of expert (P=0.204), but greater than that of residents (P<0.001). Conclusion Our data mining technique using classification decision tree has a much higher accuracy than residents. It suggests that the application of this algorithm will significantly improve the diagnostic performance of residents.