Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review

Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive malignancy with a poor prognosis is usually detected at the advanced stage of the disease. The only US Food and Drug Administration-approved biomarker that is available for PDAC, CA 19-9, is most useful in monitoring treatment response among PDAC patients rather than for early detection. Moreover, when CA 19-9 is solely used for diagnostic purposes, it has only a recorded sensitivity of 79% and specificity of 82% in symptomatic individuals. Therefore, there is an urgent need to identify reliable biomarkers for diagnosis (specifically for the early diagnosis), ascertain prognosis as well as to monitor treatment response and tumour recurrence of PDAC. In recent years, proteomic technologies are growing exponentially at an accelerated rate for a wide range of applications in cancer research. In this review, we discussed the current status of biomarker research for PDAC using various proteomic technologies. This review will explore the potential perspective for understanding and identifying the unique alterations in protein expressions that could prove beneficial in discovering new robust biomarkers to detect PDAC at an early stage, ascertain prognosis of patients with the disease in addition to monitoring treatment response and tumour recurrence of patients.     

Banach空间中非线性混合型脉冲积分-微分方程初值问题的解

研究了Banach空间中非线性脉冲积分-微分方程初值问题解的存在性。在比较宽松的紧性条件下,利用Mnch不动点定理,通过引进等价范数,递归法和拟幂零算子,建立了新的存在性定理,推广和改进了于立新和刘立山在2003所建立的相关结果。     

求解一阶线性递推问题二分法的稳定性分析和误差估计

对求解一阶线性递推问题的串行算法和二分法进行了稳定性分析和误差估计，证明了串行算法与奇偶二分法，对半二分法和变间距二分法都是数值稳定的，并给出了这些算法的数值计算结果的误差估计。     

带有高斯取整函数的两个非线性三项递推关系的周期性

研究了带有高斯取整函数的两个非线性三项递推关系φk-1+φk+1=[φk],φk-1+φk+φk+1=[φk],k∈Z的周期性,通过递推分析找到了两个递推关系的所有解的最小正周期,并证明了任何解的周期均为12.     

论现代陶艺中青花的运用

青花是中国陶瓷艺术史中无可比拟的智慧财富,拥有数千年的历史,现代陶艺则起源于上世纪四、五十年代的欧洲,在全球化的今天,文化的交融使青花与现代陶艺结合在了一起,如何将二者完美的融合已成为所有现代陶艺家们最大的课题。     

直立多层介质地面点源电场的递推公式

令电位边界条件的两个方程式相除并等于电阻率转换函数,由此得出两组求电位积分表达式中待定系数的递推公式。将已知层参数逐步代入第一组速推公式,求得电源点所在层的待定系数,然后用第二组递推公式得到其他层的待定系数。     

并购重组与企业价值评估

企业并购重组是实现低成本扩张和可持续发展的理智选择，运用案例介绍了并购重组中评估企业价值的若干方法及应注意的问题。     

气液两相流的多尺度混沌特性分析

Using the high-speed camera the time sequences of the classical flow patterns of horizontal gas-liquid pipe flow are recorded, from which the average gray-scale values of single-frame images are extracted. Thus obtained gray-scale time series is decomposed by the Empirical Mode Decomposition (EMD) method, the various scales of the signals are processed by Hurst exponent method, and then the dual-fractal characteristics are obtained. The scattered bubble and the bubble cluster theories are applied to the evolution analysis of two-phase flow patterns. At the same time the various signals are checked in the chaotic recursion chart by which the two typical characteristics (diagonal average length and Shannon entropy) are obtained. Resulting term of these properties, the dynamic characteristics of gas-liquid two-phase flow patterns are quantitatively analyzed. The results show that the evolution paths of gas-liquid two-phase flow patterns can be well characterized by the integrated analysis on the basis of the gray-scale time series of flowing images from EMD, Hurst exponents and Recurrence Plot (RP). In the middle frequency section (2nd, 3rd, 4th scales), three flow patterns decomposed by the EMD exhibit dual fractal characteristics which represent the dynamic features of bubble cluster, single bubble, slug bubble and scattered bubble. According to the change of diagonal average lengths and recursive Shannon entropy characteristic value, the structure deterministic of the slug flow is better than the other two patterns. After the decomposition by EMD the slug flow and the mist flow in the high frequency section have obvious peaks. Anyway, it is an effective way to understand and characterize the dynamic characteristics of two-phase flow patterns using the multi-scale non-linear analysis method based on image gray-scale fluctuation signals.     

气-固流化床压力脉动递归图分析

引入递归图分析方法对具有混沌与分形特性的气-固循环流化床压力脉动信号进行分析,针对Logisitc模型比较了递归图特征量递归率、确定性、平均对角线长度、分叉性与最大Lyapunov指数之间的关系,得出了递归图特征量对于混沌特性具有表征作用的结论。研究了递归图特征量在气-固循环流化床不同床型下的变化规律,递归图特征量在固定床型、湍流床型、气力输送床型下保持稳定,在鼓泡床型、快速流化床型下分别迅速递增或递减,因此递归图特征量同样可以对循环流化床不同床型进行辨识。     

基于小波神经网络信息融合的板材拉深故障诊断研究

总结了板材拉深试冲时的综合故障及原因,应用小波技术加混合式数据融合方法,将数据级、特征级和决策级融合通过神经网络方法综合在一起,对板材拉深试冲时的缺陷进行智能诊断,描述了小波神经网络的建模过程,探讨了通过多源互补信息减少故障诊断系统不确定性的优化方法,并给出了诊断结果。