Ambient temperature solid state reaction of a preformed compound {[Pb(Tab) 2 ] 2 (PF 6 ) 4 } n (1) (TabH = 4-(trimethylammonio)benzenethiol) with two equiv. of 1,2-bis(4-pyridyl)ethylene (bpe) quantitatively produces one unique two-dimensional coordination polymer {[Pb(Tab) 2 (bpe)] 2 (PF 6 ) 4 } n (2). The Ag(I)-doped coordination polymer {[Pb(Tab) 2 (bpe)] 2 (PF 6 ) 4 ·1.64AgNO 3 } n (2a) is readily prepared by immersing 10 2 into AgNO 3 aqueous solution. Compared with its two precursors 1 and 2, 2a exhibits greatly enhanced catalytic activity towards the photodegradation of a family of 12 azo dyes within a short period of time under UV light irradiation and excellent adaptability on the elimination of azo dyes in water. It is anticipated that the 'Ag(I)-doping' synthetic strategy reported in this work may be applicable to other coordination polymer systems containing thiolate ligands for the preparation of various metal ion-doped 15 multidimensional coordination polymers with new topological structures and better catalytic performances in photodecomposing azo dyes in industrial wastewater.

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With the increasing demands for vehicle-to-vehicle and vehicle-to-infrastructure communications in intelligent transportation systems, new generation of vehicular telematics inevitably depends on the cooperation of heterogeneous wireless networks. In heterogeneous vehicular telematics, the network selection is an important step to the realization of multimode communications that use multiple access technologies and multiple radios in a collaborative manner. This paper presents an innovative network selection solution for the fundamental technological requirement of multimode communications in heterogeneous vehicular telematics. To guarantee the QoS satisfaction of multiple mobile users and the efficient utilization and fair allocation of heterogeneous network resources in a global sense, a dynamic and self-adaptive method for network selection is proposed. It is biologically inspired by the cellular gene network, which enables terminals to dynamically select an appropriate access network according to the variety of QoS requirements and to the dynamic conditions of various available networks. The experimental results prove the effectiveness of the bioinspired scheme and confirm that the proposed network selection method provides better global performance when compared with the utility function method with greedy optimization.Index Terms-Heterogeneous wireless networks, vehicular telematics, intelligent transportation systems, quality of service, attractor selection model.

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