Quantum chaotic scattering in graphene systems in the absence of invariant classical dynamics

Peer reviewedPublisher PD

TWO ASYMMETRICAL PERMIAN GRANITIC BELTS IN THE SOUTHEAST CAOB AND THEIR IMPLICATIONS

There has been much discussion about the evolution of the Southeastern CAOB in the past two decades [Tang, 1990; Hong et al., 1994; Xiao et al., 2003; Li, 2006; Chen et al., 2009; Jian et al., 2010]. Most people believed that the Palaeozoic Asia ocean was closed along the Solonker suture at Permian with two-direction subduction models [Xiao et al., 2003; Jian et al., 2010]. Three EW subparallel Permian granitic belts took place both side of the Solonker suture, including Erlian-Uliastai belt on north side of the Erlian-Hegengshan ophiolite, south Mongolia-Xilinhot belt the Erlian-Hegengshan ophiolite on the north and the Solonker suture on the south, and the Baotou-Chifeng belt along the north margin of North China Carton on the south of the Solonker suture. Most Permian granitoids in the ErlianUliastai belt and Mongolia-Xilinhot belt were intruded in Early-Middle Permian.There has been much discussion about the evolution of the Southeastern CAOB in the past two decades [Tang, 1990; Hong et al., 1994; Xiao et al., 2003; Li, 2006; Chen et al., 2009; Jian et al., 2010]. Most people believed that the Palaeozoic Asia ocean was closed along the Solonker suture at Permian with two-direction subduction models [Xiao et al., 2003; Jian et al., 2010]. Three EW subparallel Permian granitic belts took place both side of the Solonker suture, including Erlian-Uliastai belt on north side of the Erlian-Hegengshan ophiolite, south Mongolia-Xilinhot belt the Erlian-Hegengshan ophiolite on the north and the Solonker suture on the south, and the Baotou-Chifeng belt along the north margin of North China Carton on the south of the Solonker suture. Most Permian granitoids in the ErlianUliastai belt and Mongolia-Xilinhot belt were intruded in Early-Middle Permian

Integrating declarative and imperative approach to model logistics service processes

Purpose: There is a widespread recognition of the importance of correctly modeling service processes as an effective way to provide a comprehensive understanding of the process and to enhance the service quality to clients. Taking this into account, this paper aims to construct the logistics service process model using the integration of the declarative approach and imperative approach. Design/methodology/approach: A methodology integrating the declarative and imperative process modeling approach is proposed for modeling the logistics service processes. Through investigation of the service departments and services involved, the process is decomposed into loosely-structured parts modeled by a declarative approach and highly structured parts modeled by an imperative approach. The loosely-structured and highly-structured parts are then integrated to form the model for the logistics service process. Findings: Through a case study for a Chinese bulk port, the integrative method proves to be effective in modeling the loosely-structured logistics service processes. The result model is able to express the logistics regulations and corresponding rules across different organizations as well as the strict execution order of the process activities inside a particular organization. Originality/value: The model could be the starting point for further logistics service process investigation. Future work could be conducted for conformance checking of the logistics service process using the model as a reference model.Peer Reviewe

Exploring Customer Behavior Patterns: A Process-based Perspective

With the increasingly fierce competition among enterprises, it is important for enterprises to understand customer behaviors accurately in a dynamic environment. While data mining methods have been applied to investigate customer behavior patterns with high-quality objective data, the process perspective has been largely neglected. Given that customer behaviors can be reflected in process event logs, it is possible to mine the real behavior patterns from a process-based perspective. To this aim, this paper presents a method for exploring customer behavior patterns using process mining techniques. The method consists of five steps: data collection and preprocessing, customer service process modeling, identifying deviant behaviors, clustering analysis and discovering customer behavior patterns. This method provides a viable way to understand the customer behavior patterns from a process-based perspective