铬铁矿预富集和上地幔部分熔融关系的实验研究

用合成地幔岩为原始材料,在温度1225°C和严格控制氧分压10^(-5)-10^(-12)atm条件下,对上地幔部分熔融作用与铬铁矿预富集关系进行实验研究。实验结果表明:(1)在达到稳态熔融结构时,5％-8％的玄武质硅酸盐熔体主要赋存在矿物三联点之间,它为铬元素从地幔岩中萃取运移和预富集提供了先决条件;(2)在部分熔融过程中原岩的尖晶石和辉石(铬透辉石和顽火辉石)提供的铬元素相结合,形成了富铬尖晶石和铬铁矿(Cr_2O_3可达38％-47％)。上地幔部分熔融作用不仅控制了上地幔岩石类型演化(二辉橄榄岩→方辉橄榄岩→纯橄榄岩),同时它对铬铁矿的预富集起着关键作用。

High Performance Hydrophobic Interaction Chromatography-A New Approach to Separate Intermediates of Protein Folding──Ⅰ.Separation of Intermediates of Urea-unfolded α-Amylase

Based on the different hydrophobicities of the intermediates of proteins the various conformational intermediates of the refolding of a-amylase originally denatured with 8.0 mol/L urea solution were separated with high performance hydrophobic interaction chromatography(HPHIC). Compared to the separation of the same intermediates with weak anion exchange chromatography and size-exclusion chromatography the result obtained with HPHIC is the best It would be expected that HPHIC may be a strongly potential tool to separate intermediates of some proteins which cannot be, or cannot completely be refolded by HPHIC.

Studies on the Renaturation with Simultaneous Purification of Recombinant Human Proinsulin with Unit of Simultaneous Renaturation and Purification of Protein in Semi-preparative Scale

The renaturation and purification of recombinant human proinsulin (rh-proinsulin) expressed in E. coli with the unit of simultaneous renaturation and purification of protein (USRPP) in semi-preparative scale was studied. The result shows that rh-proinsulin extracted with 8.0 mol/L urea can be renatured and purified simultaneously in 45 minutes with the USRPP (1050 mm ID). The purity of rh-proinsulin was found to be more than 90% and the mass recovery to be more than 80%. The renaturation effect of rh-proinsulin with the USRPP was tested by enzyme cleavage for obtaining insulin. In addition, the result was further confirmed with RPLC, SDS-PAGE electrophoresis, and MALDI-TOF, respectively.

Comparison of the Contributions of Tetrahydrofurfuryl Alcohol and PEG to a-Chymotrypsin Renaturation with High Performance Hydrophobic Interaction Chromatography

The contributions of tetrahydrofurfuryl alcohol (THFA) and polyethylene glycol (PEG) to the renatured efficiency of a-chymotrypsin were investigated and compared with each other. The maximum increments of bioactivity recovery of a-Chy were found to be 25.1% for THFA, 10.4% for PEG, respectively. The experimental results indicated that the denaturant solution containing THFA contributed more to the renaturation of a-Chy in high performance hydrophobic interaction chromatography (HPHIC) than that containing PEG, when the concentration of THFA was 3.2%, the bioactivity recovery of a-Chy is the highest.

EXPERT DISCOVERY AND KNOWLEDGE MINING IN COMPLEX MULTI-AGENT SYSTEMS

Complex problem solving requires diverse expertise and multiple techniques. In order to solve such problems, complex multi-agent systems that include both of human experts and autonomous agents are required in many application domains. Most complex multi-agent systems work in open domains and include various heterogeneous agents. Due to the heterogeneity of agents and dynamic features of working environments, expertise and capabilities of agents might not be well estimated and presented in these systems. Therefore, how to discover useful knowledge from human and autonomous experts, make more accurate estimation for experts＇ capabilities and find out suitable expert（s） to solve incoming problems （＂Expert Mining＂） are important research issues in the area of multi-agent system. In this paper, we introduce an ontology-based approach for knowledge and expert mining in hybrid multi-agent systems. In this research, ontologies are hired to describe knowledge of the system. Knowledge and expert mining processes are executed as the system handles incoming problems. In this approach, we embed more self-learning and self-adjusting abilities in multi-agent systems, so as to help in discovering knowledge of heterogeneous experts of multi-agent systems.

GREENCOMMUTE： AN INFLUENCE-AWARE PERSUASIVE RECOMMENDATION APPROACH FOR PUBLIC-FRIENDLY COMMUTE OPTIONS

Negative impacts produced by transportation sector have increased in parallel with the increase of urban mobility. In this paper, we introduce GreenCommute, a novel recommendation system which can facilitate commuters to take public fi＇iendly commute options, while provide support to alleviate the external cost in society, such as traffic pollution, congestion and accidents. In the meanwhile, a rewarding mechanism for persuading commuters is embedded in the proposed approach for balancing the conflict between personal needs and social aims. The allocation of reward values also takes users＇ influential degrees in the social network into consideration. Experimental results show that the GreenCommute can promote public friendly commute options more effectively in comparison to the traditional recommendation system.

Context-Aware Recommendation System using Graph-based Behaviours Analysis

Recommendation systems have been extensively studied over the last decade in various domains. It has been considered a powerful tool for assisting business owners in promoting sales and helping users with decision-making when given numerous choices. In this paper, we propose a novel Graph-based Context-Aware Recommendation Systems with Knowledge Graph to analyse and predict users’ behaviours, i.e., making recommendations based on historical events and their implicit associations. The model incorporates contextual information extracted from both users’ historical behaviours and events relations, where the contexts have been modelled as knowledge graphs. By leveraging the advantages offered from the knowledge graph, events dependencies and their subtle relations can be established and have been introduced in the recommendation process. Experimental results indicate that the proposed approach can outperform the state-of-the-art algorithms and achieve more accurate recommendations.

Protein separation using a novel silica-based RPLC/IEC stationary phase modified with N-methylimidazolium ionic liquid

Ionic liquids（ILs） immobilized on silica as novel high performance liquid chromatography（HPLC）stationary phases have attracted considerable attention. However, it has not been applied to protein separation. In this paper, N-methylimidazolium IL-modified silica-based stationary phase（Silpr Mim）was prepared and investigated as a novel multi-interaction stationary phase charged positively for protein separation. The results indicate that all of the basic proteins tested cannot be absorbed on this novel stationary phase, whereas all of the acidic proteins tested can be retained, and the baseline separation of eight kinds of acidic protein standards can be achieved when performed in reversed phase/ion-exchange chromatography（RPLC/IEC） mode. Compared with commonly used commercial octadecylated silica（ODS） column, the novel stationary phase can show selectivity and good resolution to acidic proteins, which has a promising application in the separation and analyses of acidic proteins from the complex samples in proteomics. In addition, the chromatographic behavior of proteins, the effect of the ligand structure and the retention mechanism on this stationary phase were also investigated.

An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks

Social media have dramatically changed the mode of information dissemination.Various models and algorithms have been developed to model information diffusion and address the influence maximization problem in complex social networks.However,it appears difficult for state-of-the-art models to interpret complex and reversible real interactive networks.In this paper,we propose a novel influence diffusion model,i.e.,the Operator-Based Model(OBM),by leveraging the advantages offered from the heat diffusion based model and the agent-based model.The OBM improves the performance of simulated dissemination by considering the complex user context in the operator of the heat diffusion based model.The experiment obtains a high similarity of the OBM simulated trend to the real-world diffusion process by use of the dynamic time warping method.Furthermore,a novel influence maximization algorithm,i.e.,the Global Topical Support Greedy algorithm(GTS-Greedy algorithm),is proposed corresponding to the OBM.The experimental results demonstrate its promising performance by comparing it against other classic algorithms.

"Click chemistry" preparation of WCX packings for protein separation

按化学被使用使三种炔属羟羧基的酸不能调动到修改叠氮化物的硅石胶化上为弱阳离子交换层析(WCX ) 准备三个新奇静止阶段。发达协议联合运作的简洁，特别温和的条件和高表面装载的好处。六种标准蛋白质在新奇包装上完全被分开。与商业 WCX 列相比，三种新奇 WCX 包装由按化学途径准备了有更好的分辨率和选择。溶解酵素被一步与新奇 WCX 列从鸡蛋白色成功地净化。纯净是超过 97% ，一项高特定的活动被完成是 81,435 U/mg。结果为 IEC 为静止阶段的准备说明按化学的潜力。

Editorial Special Issue on AI-enabled System Simulation and Modelling

Al-enabled system simulation and modelling has become useful tools to facilitate humans to understand systems in different do-mains,such as physics,astrophysics,chemistry,biology,economics,engineering and social science.A complex system is featured with a large number of interacting components(agents,processes,etc.),whose aggregate activities are nonlinear and self-organized.Complex systems are hard to be simulated or mod-elled by using traditional computational approaches due to complex relationships among system components,distributed features of resources,and dynamics of environments.Meanwhile,agent and multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.

Synthesis of SiO_2@SiO_2 core-shell microspheres using urea-formaldehyde polymers as the templates for fast separation of small solutes and proteins

Superficially porous core-shell silica microspheres （CSSMs） have been a great success for the fast separation of small molecules and proteins in recent years. In this paper, the CSSMs were synthesized by an improved polymerization-induced colloid aggregation （PICA） method using urea-formaldehyde polymers as the templates. The agglomeration of the functionalized silica core was avoided by the surface modification through reflux with ureidopropyltrimethoxysilane in the neutral ethanol solution at 80 ~C, and the secondary nucleation of the silica nanoparticles during the preparation process could also be inhibited via the optimization of the reaction conditions, such as pH, temperature, colloidal silica sol concentration and the reaction time. The controllable shell thickness and pore size of the synthesized monodisperse CSSMs were successfully obtained by adjusting the weight ratio of silica core/colloidal silica sol and the particle size of colloidal silica sol, respectively. The C18-modified CSSMs with different pore sizes were used to separate small solutes and proteins. The higher efficient separation and relatively low back pressure of the synthesized core-shefi column demonstrate that the CSSMs have a great ootential aoolication for fast HPLC

EDITORIAL SPECIAL ISSUE ON AGENT-BASED MODELLING FOR COMPLEX SYSTEMS

Computer based modelling and simulation has become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components （agents, processes, etc.）, whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modelled by using traditional computational approaches due to the complex relationships of components and distributed features of resources, and dynamic work environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.