基于知识工程的智能优化软件系统IOPS

根据知识工程理论研究了一种智能型的优化设计软件系统IOPS。该系统集成了连续、离散、随机变量的14种优化算法程序,并通过模型诊断、算法选择、多目标决策、参数设计等专家系统的并行操作,实现了优化设计过程自动化。     

基于随机优化的工程稳健设计

根据影响产品质量的因素,讨论了质量设计的准则和设计解的稳健性,并利用随机建模原理提出一种工程稳健设计的新方法.该方法与一般稳健设计不同的是,通过同时调整设计参数与控制其容差来达到稳健设计的最优解.数值分析表明,该方法是十分有效的.     

贵州六盘水地区龙潭煤系煤岩富氢显微组分的生烃潜力与生烃贡献

从有机岩石学与有机地球化学角度研究烃源岩有机质成烃演化和生烃作用是油气资源评价的一个重要方面.本文探讨了贵州六盘水地区煤岩显微组分的生烃潜力和生烃贡献,并对富氢显微组分的组成与氢指数作了相关性研究,提出了计算显微单组分生烃贡献的一种方法.结果表明:研究区的基质镜质体早于树皮体产生液态烃类,富氢显微组分的含量与氢指数表现出很好的相关性;基质镜质体是煤生烃作用的最大贡献者.这一结论对研究区油气资源潜力评价有着重要的参考价值.笔者认为,烃源岩有机质的生烃潜力是针对其生烃性能而言的,是生烃作用的“质”的衡量标准;生烃贡献则是针对其在生烃过程中的生烃配分而言的,是生烃作用的“量化”标准,提出将生烃贡献指标作为烃源岩有机质生烃评价的判别指标的可行性和必要性.     

溶剂抽提偏三甲苯-正辛烷三元体系液-液相平衡的对比分析

在70℃下采用浊点法分别测定了二甲亚砜、N-甲酰吗啉、四甘醇与偏三甲苯-正辛烷三元体系液-液相平衡数据,得到体系的液-液分层曲线和结点数据,并用液-液分层曲线和体系物性（折光指数、密度）相结合的方法对平衡数据进行了分析。结果表明：溶剂的溶解能力的次序为：N-甲酰吗啉＞二甲驱砜＞四甘醇;溶剂的选择性次序为：二甲亚砜＞四甘醇＞N-甲酰吗啉,三种溶剂中二甲亚砜同时具有较高的溶解能力和选择性,较适合萃取偏三甲苯-正辛烷的混合溶液。研究结果可以为溶剂抽提过程相平衡数据库提供基础数据,并为重芳烃抽提的溶剂选择提供参考。     

Multienzyme co-immobilization-based bioelectrode:Design of principles and bioelectrochemical applications

Enzyme cascade reactions play significant roles in bioelectrochemical processes because they permit more complex reactions. Co-immobilization of multienzyme on the electrode could help to facilitate substrate/intermediate transfer among different enzymes and electron transfer from enzyme active sites to the electrode with high stability and retrievability. Different co-immobilization strategies to construct multienzyme bioelectrodes have been widely reported, however, up to now, they have barely been reviewed. In this review, we focus on recent state-of-the-art techniques for constructing co-immobilized multienzyme electrodes including random and positional co-immobilization. Particular attention is given to strategies such as multienzyme complex and surface display. Cofactor co-immobilization on the electrode is also crucial for the enhancement of catalytic reaction and electron transfer, yet, few studies have been reported. The up-to-date advances in bioelectrochemical applications of multienzyme bioelectrodes are also presented. Finally, key challenges and future perspectives are discussed.     

Mud inrush flow mechanisms: a case study in a water-rich fault tunnel

Bulletin of Engineering Geology and the Environment - Fifteen serious inrushing disasters caused by mud flow occurred in the excavation of Yonglian Tunnel with a length of 2500 m in the...     

Retinal image quality assessment for diabetic retinopathy screening: A survey

Multimedia Tools and Applications - Retinal image quality assessment (RIQA) is one of the key components in screening for diabetic retinopathy (DR). As one of the most serious complications of...     

3D Manufacture of Gold Nanocomposite Channels Facilitates Neural Differentiation and Regeneration

Conductive nerve guidance channels are promising alternative therapies in peripheral nerve tissue engineering because they have excellent biocompatibility, biodegradation, and electrical conductivity. Gold, a kind of conductive material, is investigated widely concerning its potential roles in promoting peripheral nerve repair. In the present study, a polydopamine‐coated gold/polycaprolactone nanoscaffold is fabricated via a multilayer molding method and its proliferative, adhesive, and neural differentiation potential for bone marrow mesenchymal stem cells (BMSCs) and Schwann cells (SCs) in vitro is evaluated. Functional, electrophysiological evaluation, and morphological assessment all exhibit satisfactory recovery of sciatic nerves with increased thickness and number of myelinated fibers in vivo. In addition, increased microvessels are confirmed in gold nanocomposite channels, indicating their potential benefits in angiogenesis. Functional regeneration is further enhanced by neurotrophic growth factors released from BMSC and SC loading. The gold nanocomposite channel will have great potential in peripheral nerve restoration.     

Hydrogen Storage in Carbon and Oxygen Co-Doped Porous Boron Nitrides

Fuel cell vehicles powered by hydrogen are particularly attractive and competitive among rapidly developing new energy-driven automobiles. One critical problem for this type of vehicles is the high cost for hydrogen storage due to the lack of efficient and low-pressure hydrogen storage technologies. In the frame of development of hydrogen physisorption-relied materials, attention has mostly been paid to the textural designs of porous materials, including specific surface area, pore volume, and pore size. However, based on the hydrogen physisorption mechanism, hydrogen adsorption energy on a material surface is another key factor with regard to hydrogen uptake capacity. Herein, solid experimental evidences are provided and it is also proven that the chemical states of porous boron nitride (BN) materials remarkably affect their hydrogen adsorption performances. The developed carbon and oxygen co-doped BN microsponges exhibit the hydrogen uptake capacity per specific surface area of 2.5–4.7 times larger than those of undoped BN structures. These results show the importance of chemical state modulations on the future designs of high-performance hydrogen adsorbents based on physisorption approaches.