Hulthén势散射态的解析解

对改良的Manning-Rosen势的径向薛定谔方程任意l波散射态进行解析求解,得到按“K/2π标度”的相移公式和归一化的超几何函数表示的径向波函数。通过对散射振幅在极点解析性质的研究得到束缚态能级, 而特征值的数值结果与先前结果的比较进一步验证了本文结果的精确性。     

Human Vascular Endothelial Cells Promote the Secretion of Vascularization Factors and Migration of Human Skin Fibroblasts under Co-Culture and Its Preliminary Application

The good treatment of skin defects has always been a challenge in the medical field, and the emergence of tissue engineering skin provides a new idea for the treatment of injured skin. However, due to the single seed cells, the tissue engineering skin has the problem of slow vascularization at the premonitory site after implantation into the human body. Cell co-culture technology can better simulate the survival and communication environment of cells in the human body. The study of multicellular co-culture hopes to bring a solution to the problem of tissue engineering. In this paper, human skin fibroblasts (HSFs) and human vascular endothelial cells (HVECs) were co-cultured in Transwell. The Cell Counting Kit 8 (CCK8), Transwell migration chamber, immunofluorescence, Western blot (WB), and real time quantitative PCR (RT-qPCR) were used to study the effects of HVECs on cell activity, migration factor (high mobility group protein 1, HMGB1) and vascularization factor (vascular endothelial growth factor A, VEGFA and fibroblast growth factor 2, FGF2) secretion of HSFs after co-cultured with HVECs in the Transwell. The biological behavior of HSFs co-cultured with HVECs was studied. The experimental results are as follows: (1) The results of cck8 showed that HVECS could promote the activity of HSFs. (2) HVECs could significantly promote the migration of HSFs and promote the secretion of HMGB1. (3) HVECs could promote the secretion of VEGFA and FGF2 of HSFs. (4) The HVECs and HSFs were inoculated on tissue engineering scaffolds at the ratio of 1:4 and were co-cultured and detected for 7 days. The results showed that from the third day, the number of HSFs was significantly higher than that of the control group without HVECs.     

Shifting the pH Optima of (R)-Selective Transaminases by Protein Engineering

Amine transaminases (ATAs) are powerful biocatalysts for the stereoselective synthesis of chiral amines. However, wild-type ATAs usually show pH optima at slightly alkaline values and exhibit low catalytic activity under physiological conditions. For efficient asymmetric synthesis ATAs are commonly used in combination with lactate dehydrogenase (LDH, optimal pH: 7.5) and glucose dehydrogenase (GDH, optimal pH: 7.75) to shift the equilibrium towards the synthesis of the target chiral amine and hence their pH optima should fit to each other. Based on a protein structure alignment, variants of (R)-selective transaminases were rationally designed, produced in E. coli, purified and subjected to biochemical characterization. This resulted in the discovery of the variant E49Q of the ATA from Aspergillus fumigatus, for which the pH optimum was successfully shifted from pH 8.5 to 7.5 and this variant furthermore had a two times higher specific activity than the wild-type protein at pH 7.5. A possible mechanism for this shift of the optimal pH is proposed. Asymmetric synthesis of (R)-1-phenylethylamine from acetophenone in combination with LDH and GDH confirmed that the variant E49Q shows superior performance at pH 7.5 compared to the wild-type enzyme.     

Cryogenic 3D Printing of w/o Pickering Emulsions Containing Bifunctional Drugs for Producing Hierarchically Porous Bone Tissue Engineering Scaffolds with Antibacterial Capability

How to fabricate bone tissue engineering scaffolds with excellent antibacterial and bone regeneration ability has attracted increasing attention. Herein, we produced a hierarchical porous β-tricalcium phosphate (β-TCP)/poly(lactic-co-glycolic acid)-polycaprolactone composite bone tissue engineering scaffold containing tetracycline hydrochloride (TCH) through a micro-extrusion-based cryogenic 3D printing of Pickering emulsion inks, in which the hydrophobic silica (h-SiO₂) nanoparticles were used as emulsifiers to stabilize composite Pickering emulsion inks. Hierarchically porous scaffolds with desirable antibacterial properties and bone-forming ability were obtained. Grid scaffolds with a macroscopic pore size of 250.03 ± 75.88 μm and a large number of secondary micropores with a diameter of 24.70 ± 15.56 μm can be fabricated through cryogenic 3D printing, followed by freeze-drying treatment, whereas the grid structure of scaffolds printed or dried at room temperature was discontinuous, and fewer micropores could be observed on the strut surface. Moreover, the impartment of β-TCP in scaffolds changed the shape and density of the micropores but endowed the scaffold with better osteoconductivity. Scaffolds loaded with TCH had excellent antibacterial properties and could effectively promote the adhesion, expansion, proliferation, and osteogenic differentiation of rat bone marrow-derived mesenchymal stem cells afterward. The scaffolds loaded with TCH could realize the strategy to “kill bacteria first, then induce osteogenesis”. Such hierarchically porous scaffolds with abundant micropores, excellent antibacterial property, and improved bone-forming ability display great prospects in treating bone defects with infection.     

数据驱动的航天器故障诊断研究现状及挑战

总结了基于数据驱动的故障诊断技术理论、方法及其在航天器上的应用现状,指出其面临的挑战并提出一种解决方案。将基于数据驱动的故障诊断方法按照技术发展顺序分为基于传统机器学习的方法、基于深度学习的方法以及基于迁移学习的方法。基于传统机器学习的方法需要大量的人工参与和丰富的专家经验,在小样本数据上有着优异的性能,但不适合处理大数据。在大数据背景下,重点介绍了卷积神经网络、循环神经网络、深度自编码器以及深度信念网络的基本概念以及原理,对其在航天器故障诊断领域的研究现状进行了阐述和总结。针对深度学习严重依赖于带标签数据这一问题,介绍了基于迁移学习的故障诊断技术,并提出适应航天器应用的场景,为数据驱动的故障诊断技术工程应用提供了一种方法和思路。     

Highly Stretchable and Sensitive Flexible Strain Sensor Based on Fe NWs/Graphene/PEDOT:PSS with a Porous Structure

With the rapid development of wearable smart electronic products, high-performance wearable flexible strain sensors are urgently needed. In this paper, a flexible strain sensor device with Fe NWs/Graphene/PEDOT:PSS material added under a porous structure was designed and prepared. The effects of adding different sensing materials and a different number of dips with PEDOT:PSS on the device performance were investigated. The experiments show that the flexible strain sensor obtained by using Fe NWs, graphene, and PEDOT:PSS composite is dipped in polyurethane foam once and vacuum dried in turn with a local linearity of 98.8%, and the device was stable up to 3500 times at 80% strain. The high linearity and good stability are based on the three-dimensional network structure of polyurethane foam, combined with the excellent electrical conductivity of Fe NWs, the bridging and passivation effects of graphene, and the stabilization effect of PEDOT:PSS, which force the graphene-coated Fe NWs to adhere to the porous skeleton under the action of PEDOT:PSS to form a stable three-dimensional conductive network. Flexible strain sensor devices can be applied to smart robots and other fields and show broad application prospects in intelligent wearable devices.     

北京地区医用加速器高能光子水吸收剂量398、277报告的量值验证

针对我国放疗水吸收剂量测量方法即将更新的现状,先后在北京多家医院放疗科的医用加速器下进行了200多次高能光子水吸收剂量量值验证实验。按照IAEA 277报告和IAEA 398报告的测量方法,测量高能光子最大剂量点处的水吸收剂量值并进行比较。统计2种方法测量结果的偏差,在NE2571电离室的实验结果中,398报告的测量结果比277报告的测量结果大0.23%;在PTW30013电离室的实验结果中,398报告的测量结果比277报告的测量结果测量结果大0.85%。实验表明,2种方法的测量结果在不确定度范围内一致,实验为398报告量值体系在我国的推行建立了实验基础。对结果的偏差做了分析,深入研究了相关因子的计算过程,从几个修正因子的角度探讨了偏差产生的原因。     

基于本体的建筑工程质量隐患信息知识建模

在传统的项目管理模式中,工程人员都是通过核对监理单位提供的质量隐患整改单中的质量问题信息和建筑工程施工质量验收规范,来确定项目工程施工质量是否达标。为了提高工程信息审查效率,本文提出了一种基于本体的建筑工程质量隐患整改单信息审查知识模型。研究过程主要分为四步：第一,分析建筑工程施工质量验收规范中的词义元素和语义表达;第二,分析质量隐患整改单中的质量问题信息并建立知识模板和语义信息图;第三,参考已有的建筑工程质量验收规范知识模型,建立QII-QHDRFOntology知识模型;第四,完成建模后,将该模型应用于实际案例以验证其可行性和有效性。验证结果表明,本文建立的QII-QHDRFOntology知识模型能够成功审查实际工程质量隐患整改单中的质量问题信息。     

基于隐函数模型的光学微腔传输光谱拟合算法

光学微腔品质因子高、灵敏度高,在精密生物传感方面有广阔的应用前景。针对洛伦兹拟合算法不能很好地拟合光学微腔输出端非对称波形和劈裂模式波形的问题,提出了隐函数模型算法。该算法首先建立模板波形,然后经平移、放缩理论实现模板波形操作,利用Levenberg-Marquardt (LM)算法优化参数值,能够实现对称波形、非对称波形和劈裂模式波形数据拟合。通过搭建光学微腔数据采集系统,采用高斯、洛伦兹和隐函数模型算法对不同折射率溶液的实验数据进行拟合。结果表明：隐函数模型算法比前两种算法的MSE低1个数量级,且拟合优度(R2)达到了0.99,拟合效果较好;隐函数模型算法谐振频率误差最小,谐振频率偏移量最大,对应的灵敏度最高,有利于提高光学微腔灵敏度。