Therapeutic applications of bone marrow-derived stem cells in liver transplantation for end-stage liver diseases

Today, liver transplantation (LT) is the only established treatment for end-stage liver diseases. The de- velopment of LT, including OLT, cadaveric LT, split LT, living donor LT (LDLT), brings hopes to patients with these diseases. However, increasing donor shortage, rejection and life-long immunosuppression with its side effects are the major limitations of this therapy strategy. Bone marrow-derived stem cells (BMDSCs) are capable of differentiating into hepatocyte-like cells and contribute to liver injury repair. The microenvironment of liver injury caused by rejection, ischemia/reperfusion, loss of liver mass, recurrence of HCV and "small-for-size syndrome" after LT can attract a variety of bone marrow-derived stem cell population to the peripheral circulation and then migration to the injury liver to promote the hepatic function restoration. Additionally, BMDSCs can also take part in the functional regeneration of living donor liver after LDLT. This participation in liver regeneration may be associated to the interac- tion between SDF-1and its receptor CXCR4, involving HGF, IL-8, MMP9, and VEGF/VEGFR-2. BMDSC with its bio-characteristics could maintain the allograft tolerance from different angles and in different ways. In conclusion, BMDSCs transplantation, as a new assistant therapeutic method for LT, will ex- pand the space of LT, and provide more survival opportunities for the patients suffering liver diseases in the future.     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

Design and passive analysis of a novel softness display device

Simulating the softness property of object is quite a challenge in virtual reality system. A novel softness display system was developed based on the principle of deformable length of elastic element control （DLEEC）. In the system, the equivalent stiffness of the device is adjustable, and is inversely proportional to the third power of the deformable length of elastic beam. PD position control is employed to guarantee the accurate softness display. The softness of the virtual objects in large scale can be felt with the softness display device. Compared with other haptic devices, the device is passive and exert the react force only when the operator ＂actively touch＂ the virtual objects. The stability of the softness display system was analyzed. It was theoretical proved that the system satisfied the criteria of wide impedance range ＂Z-width＂, and the performance was superior to an active system. The experimental results were presented.     

目的论指导下的新闻英语编译

针对传统的翻译标准"忠实"、"等值"无法解释新闻翻译中必要的摘译、编译等现象,以德国功能学派翻译理论家H. J.弗米尔 (H. J. Vermeer) 提出的"目的论"为切入点,探讨了目的论在新闻翻译中的应用,目的论的提出拓宽了翻译理论研究的领域.     

硼对12Ni3CrMoV高强度钢焊接接头冷裂敏感性的影响

低碳调质高强度钢中添加硼对焊接冷裂敏感性的影响较少有人研究,并存在两种不同意见.本文对含硼量分别为0.005%,0.0014%,0.0028%,0.0035%的12Ni3CrMoV调质高强度钢焊接冷裂敏感性进行研究.试验结果表明:1.插销试验临界应力:含硼钢比无硼钢(含硼0.0005%)高;含硼钢中,临界应力按含硼量0.0014%,0.0028%,0.0035%的顺序递减.2.扫描电镜断口分析:无硼钢有沿晶断裂区、准介理断裂区和韧窝断裂区.含硼钢没有沿晶断裂区,只有准介理断裂区和韧窝断裂区.3.焊条未烘干时,无硼和含硼钢的插销临界应力都降低,无硼钢沿晶断裂区扩大,含硼钢仍无沿晶断裂区.4.硼在HAZ粗晶区中沿奥氏体晶界形成偏聚带,硼相主要沿奥氏体晶界呈不连续点状析出.含硼愈多,沿奥氏体晶界偏聚和硼相析出也愈多.5.C.D.Beachem提出的断口形貌发展过程示意图可以解释无硼钢断裂,不能完全解释含硼钢断裂过程.6.裂纹敏感性成分Pcm值表达式中,硼项系数为" 5"值得商榷.就本文钢材而言,硼项函数应为"负变数".本文对含硼钢延迟裂纹机理作了探讨.     

一种新的基于Kohonen网络的图像矢量量化

矢量量化是一种重要的数据压缩方法.本文利用Kohonen自组织映射神经网络进行矢量量化,首次较为详细地讨论了具体实现的步骤与细节,并在此基础上为改善边缘质量,提出一种基于Laplas算子检测边缘弓引导神经网络训练的方法,并通过实验证明其效果是明显的.     

复合氧化物晶体晶格能的近似计算

本文以 Born-Harb 循环为依据,推导了复合晶体晶格能和与其相应的各二元化合物晶体晶格能之间的关系,并由此给出了复合氧化物晶体晶格能近似计算的新公式。对20种复合氧化物晶体晶格能计算结果的分析表明:用本文所给公式对复合氧化物晶体晶格能进行近似计算是可行的。     

核磁共振跟踪反应法研究5—O—乙酰基—2.3-双脱氧-D.L-呋喃戊糖基氯的合成

以乙酸四氢呋喃甲酯为原料,通过自由基氯化反应,合成双脱氧核苷类抗艾滋病药物的重要中间体化合物5—0—乙酰基—2.3—双脱氧—D.L—吹喃戊糖基氯.对于此种不稳定的中间体化合物,用~1HNMR跟踪监测反应物的方法,研究了改变反应时间、反应温度和反应物摩尔比对反应产物的影响,获得了最佳的反应条件,使其收率从10％提高到50％左右.     

C~3I系统理论评述

本文综述了C~3I系统研究中的主要问题与现状,讨论了该系统的建模、效能分析以及影响理论研究的几个因素,并对未来C~3I系统理论的主要问题、难点以及解决手段等进行了探讨。     

边界拟合坐标系中的流动方程

本文提出了流体力学解析边界拟合坐标系方法，及建立在这种坐标系基础上对流动方程进行摄动处理的方法，并列举几种流动建立了解析边界拟合坐标系中的方程。