A Multiple Salient Features-Based User Identification across Social Media

Identifying users across social media has practical applications in many research areas, such as user behavior prediction, commercial recommendation systems, and information retrieval. In this paper, we propose a multiple salient features-based user identification across social media (MSF-UI), which extracts and fuses the rich redundant features contained in user display name, network topology, and published content. According to the differences between users’ different features, a multi-module calculation method is used to obtain the similarity between various redundant features. Finally, the bidirectional stable marriage matching algorithm is used for user identification across social media. Experimental results show that: (1) Compared with single-attribute features, the multi-dimensional information generated by users is integrated to optimize the universality of user identification; (2) Compared with baseline methods such as ranking-based cross-matching (RCM) and random forest confirmation algorithm based on stable marriage matching (RFCA-SMM), this method can effectively improve precision rate, recall rate, and comprehensive evaluation index (F1).     

Lower Activation Energy for Catalytic Reactions through Host–Guest Cooperation within Metal–Organic Frameworks

Industrial synthesis is driven by a delicate balance of the value of the product against the cost of production. Catalysts are often employed to ensure product turnover is economically favorable by ensuring energy use is minimized. One method, which is gaining attention, involves cooperative catalytic systems. By inserting a flexible polymer into a metal–organic framework (MOF) host, the advantages of both components work synergistically to create a composite that efficiently fixes carbon dioxide to transform various epoxides into cyclic carbonates. The resulting material retains high yields under mild conditions with full reusability. By quantitatively studying the kinetic rates, the activation energy was calculated, for a physical mixture of the catalyst components to be about 50 % higher than that of the composite. Through the unification of two catalytically active components, a new opportunity opens up for the development of synergistic systems in multiple applications.     

演化博弈与自组织合作

主要研究复杂网络上的演化博弈.首先研究具有社团结构的无标度网络上的演化囚徒困境博弈及Newman-Watts小世界网络中异质性对合作演化的影响.然后考察了在不同合作者和作弊者初始分布配置情况下,不同的初始比例条件对合作水平的影响,且在社会网络上研究了雪堆博弈中的合作演化.进一步地,讨论了网络拓扑和博弈动力学的共同演化问题和网络上演化囚徒困境中的强化学习问题.最后给出了复杂网络上演化博弈论的未来发展方向与应用前景.     

Spatio-temporal dynamics in simple asymmetric hypercycles under weak parasitic coupling

Hypercycles represent an example of cooperation at the molecular level suggested to be involved in the evolution of the first autonomous, self-reproducing molecular living-like systems. However, they are vulnerable to parasites: an established hypercycle may decay if a selfish replicator appears i.e. one that receives catalytic help but does not reciprocate catalysis. In this work we study the dynamics of a two-member hypercycle with an attached, weak parasite. We are using a mean field model and a stochastic cellular automaton (CA) focusing on the role of the kinetic properties of both hypercycle replicators, exploited by the parasite. Both approaches show three possible, parameter-dependent outcomes: (i) hypercycle stability and parasite extinction; (ii) extinction of the entire system; and (iii) coexistence between the hypercycle and the parasite. Scenario (iii) is shown to be structurally unstable in the mean field model but the addition of space allows a wider coexistence phase. Moreover the CA model also indicates that the degree of hypercycle’s asymmetry may be relevant in the survival of the catalytic replicators, being also responsible for qualitatively different dynamics e.g. if the parasite is attached to the fittest hypercycle unit, low-dimensional chaos arises. The coexistence phase is characterized by the emergence of hypercyclic aggregates with a broad distribution of cluster sizes and mixed patterns of replicators able to provide the hypercycle with resistance against the parasites. Nevertheless the resistance to the parasite is shown to reduce with increase of diffusion. The role of the kinetic properties of the hypercycle and of diffusion in the survival of the hypercycle is discussed in the context of prebiotic evolution.     

A Stochastic Model for Combined Activity/Destination/Route Choice Problems

In travel behavior modeling, an important topic is to investigate what drives people to travel. A systematic analysis should examine why, where and when various activities are engaged in, and how activity engagement is related to the spatial and institutional organization of an urban area. In view of this, this paper presents a stochastic model for solving the combined activity/destination/route choice problem. It is a time-dependent model for long-term transport planning such as travel demand forecasting. The activity/destination choices are based on multinomial logit formulae and, the route choice is governed by stochastic user equilibrium principle. The solution algorithm is proposed together with a numerical example for demonstration. It is shown that the proposed modeling approach provides a powerful tool for fully understanding and predicting the complex travel behavior at strategic level. The work described in this paper was substantially supported by the grants from the National Natural Science Foundation of China (Project No. 79825101), the Chinese Academy of Sciences (MADIS Research Project) and the Research Grants Council of the Hong Kong Special Administrative Region (Project No. PolyU5077/97E).     

Negotiation and Equilibria in User Competition for Resources: A Dynamic Plot Approach

We consider a scenario where two users are competing for substitutable facilities and where the costs to a user for using a facility depend on its usage as well as the usage by the other user. This results in a nonlinear dynamic game the solution of which implies an allocation that satisfies both users. Games with four different types of solution spaces are presented where the equilibria and the process to reach a negotiated compromise solution have different characterizations. Nash equilibria and nondominated points are discussed in this context and an interactive graphical dynamic plot approach is presented for obtaining negotiated solutions in such nonlinear dynamic games.     

锂电诺奖与科学精神

2019年诺贝尔化学奖授予了约翰·古迪纳夫、斯坦利·惠廷厄姆和吉野彰三位科学家,以表彰他们在锂离子电池领域做出的重要贡献。经过40余年的发展,锂离子电池已经被广泛应用于人类生产、生活的方方面面,这离不开全世界千千万万科技工作者的创造、探索和实践。本文结合此次锂电诺奖特别是古迪纳夫教授的故事,阐述创新、求实、交叉、合作的科学精神及其对科学研究和人才培养的重要性。     

MODELING EFFECTS OF TWO INTERACTING POPULATIONS ON A RENEWABLE RESOURCE

Abstract In this paper, a general mathematical model is presented to study the effect of two populations on a resource biomass. The interaction between two populations is assumed to be competition, predation, or cooperation. These two populations may depend on the resource biomass partially, wholly, or they may predate on the resource. In each case, criteria for local stability, instability, and global stability are obtained. Numerical simulation is presented to illustrate the theoretical results obtained in each case. It is shown that the depletion of resource biomass is maximum in the case of cooperation and is minimum in the case of competition.     

港口选择研究进展

从港口选择问题演化、港口选择决策人、港口选择决定因素、枢纽港选择以及研究方法等方面系统地阐述了国内外港口选择的研究动态和主要论点，并探讨了未来港口选择研究的方向和特点。     

基于海峡两岸经济合作框架协议的两岸渔业经济合作

归纳总结了《海峡两岸经济合作框架协议》(ECFA)和几个附件的内容,分析了ECFA生效之后,货物贸易早期收获产品清单对渔业动物产品进口的影响。研究认为,从台湾进口水产动物产品税率的降低和趋于零,无疑将大大提升台湾水产动物产品在大陆的竞争力;早期收获计划实施后,台湾出口到大陆的水产动物产品数量将会大幅度提高。这种状况无疑是对大陆水产企业的一种挑战和冲击。只有在不断提高产品质量和安全、不断降低生产成本的情况下,大陆的水产企业才能应对这种挑战,承受这种冲击。在服务贸易方面,如果台湾能够在大陆设立这些方面的企业,提供有关远洋渔业、水产养殖和水产品加工方面的科学研究和开发服务,必将推动我国大陆渔业技术的快速提升,促进渔业经济的健康、快速发展。在投资与经济合作方面,如果在ECFA的框架下,逐步减小双方投资的限制,从目前的侧重第一、第二产业的投资扩展到全方位的投资,涵盖水产苗种繁育、水产品加工、水产饲料、远洋渔业、休闲渔业、科技合作等领域,则必定促进大陆水产产业的整体提升,提高渔业经济的效益。作者对在ECFA框架下的渔业经济合作,从渔业资源养护与管理、休闲渔业等几个方面提出了建议。