Evaluation of Urban Competitiveness of the Huaihe River Eco-Economic Belt Based on Dynamic Factor Analysis

Computational Economics - Construction of the Huaihe River ecological-economic belt—an important component of the “One Belt, One Road” initiative—is essential for the...     

Potential role of transforming growth factor-beta 1 in terminating the immune response in patients with Guillain-Barré syndrome

Currently, amniocentesis, chorionic villus sampling (CVS) and fetal blood sampling are used to obtain fetal cells for genetic diagnosis. These invasive procedures pose a small but not negligible risk for the fetus. Efforts have been directed towards the enrichment of fetal cells, such as erythroblasts, from maternal blood and progress has been made in the diagnosis of some chromosomal disorders and in sex determinations. We now report the detection of point mutations in single gene disorders using this method of prenatal diagnosis by enriching fetal cells from maternal blood by magnetic cell sorting followed by isolation of pure fetal cells by microdissection. In two pregnancies at risk for sickle cell anaemia and beta-thalassaemia, we successfully identified the fetal genotypes. Thus, prenatal diagnosis of single gene disorders by recovering fetal cells from maternal circulation appears to be a feasible approach.     

非规则结构电容层析成像填补法测量的敏感场特性及重构算法改进

利用填补的方式将不规则区域转为规则成像区,可拓展电容层析成像的测量范围。首先分析了填补法对应的敏感场特性,然后分别研究了敏感场、归一化电容、填充区介电常数和图像重构算法对填补法成像的影响。并利用特定的填充区边界条件对Landweber算法进行改进,提出两种改进方法:变换矩阵和拆分矩阵的Landweber图像重构方法。结果表明,填充区使电容信号绝对值增强,非线性程度增加。不同背景的敏感场对成像影响较小,但填充区充满时的敏感场可强化环状流成像。去除填充区噪声的归一化电容矩阵有利于图像重构。填充物质的介电常数与测量区高介电常数相近时成像最佳。拆分矩阵法降低了求解维度,缩短了计算时间,对各种流型成像整体效果较好,基于松弛因子改进还可进一步优化重构图像。最后,在一般非规则结构中对改进方法的可靠性进行了测试验证。研究表明,改进方法可以用于一般性不规则结构的相分布测量,未来还可以用于因高温、腐蚀等无法直接进行电极安装的工业场合中,具有改进多相流测量方法的普遍意义。     

化工流化床技术在铀燃料循环工业中的应用

阐述了化工流化床技术在铀燃料循环工业各个过程中的具体应用,包括铀矿石浸析、铀化学转化、铀同位素富集、水堆燃料元件制备、高温气冷堆燃料元件制造、乏燃料后处理、铀燃料工业三废处理以及新型流化床核反应堆概念设计等过程。概述了各种应用流化床的类型和构造,结合具体应用过程评价了各种流化床的设计特性和优缺点,展望了流化床技术在铀燃料循环工业中的未来发展方向和广阔应用前景。指出必须结合我国核电快速发展的新趋势和新要求,加大针对铀燃料工业中的流化床应用技术研究,特别是气固流化床的基础研究工作。     

Systems analysis of different value chains based on domestic forest biomass for the production of bio‐SNG

This study compares value chains based on domestic forest biomass for the production of bio–synthetic natural gas (SNG) with respect to economic performance, GHG emissions, and energy efficiency. Value chains in which raw material is upgraded to intermediate products before transportation to an SNG plant integrated with a district heating system for further upgrading are compared with a chain in which the raw material is transported directly to the SNG plant. The intermediates considered are either dried biomass from forest residues, or bark, upgraded at pulp mills, or pellets from sawdust upgraded at sawmills. The findings show that the difference in performance between the studied value chains is generally small. The highest cost and significantly lowest energy efficiency are associated with the value chain with pellets, which leads to the conclusion that more pretreatment than what is required by the SNG process, to lower transport costs, is not profitable. Drying forest residues at pulp mills before further transportation to and upgrading at an SNG plant leads to somewhat higher transportation costs because of the relatively high fixed costs associated with transportation. However, the benefit of drying the biomass using excess heat at pulp mills is that heat is “moved” from a location, where it can be hard to find profitable ways to use it, to the SNG plant, where the excess heat can be used for district heating. With these two factors working in opposition, the total cost is similar if forest residues are transported directly to the SNG plant or via a pulp mill. The lowest cost is achieved when falling bark from pulp mills is used because the first transportation step is avoided and no additional investment for biomass handling at the mill is required. However, there is a technical uncertainty regarding how much bark can be used in the SNG process.