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This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

It uncovers subjects' intelligent interactively trading behaviors.

This chapter offers a case study of the distinctive political activism in Taiwanese metal by analysing the intertextuality of Just Not Meant to Be (還君明珠) (2015) by Crescent Lament (恆月三途). From the perspective of a cultural insider, the author examine the socio-cultural dynamics underlying this activism and explain how Taiwanese metal attempts to tackle the troubled past of Taiwan. The author brings attention to Just Not Meant to Be's commentary about the activism it takes part in, and reflect on problematics inherent to political activism in Taiwanese metal. Finally, the author explicates the problematics in the context of metal subculture in general. Pivotal throughout this chapter are the questions: Why does Taiwanese metal replicate forms of domination it seeks to counter? What can metal subculture in general learn from Taiwanese metal and its political activism?

A cross-domain intelligent software-defined network (SDN) routing method based on a proposed multiagent deep reinforcement learning (MDRL) method is developed.

First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between the root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to acquire global network state information in real time. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a network traffic state prediction mechanism is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time.

Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and open shortest path first (OSPF) routing methods.

Message transmission and message synchronization for multicontroller interdomain routing in SDN have long adaptation times and slow convergence speeds, coupled with the shortcomings of traditional interdomain routing methods, such as cumbersome configuration and inflexible acquisition of network state information. These drawbacks make it difficult to obtain global state information about the network, and the optimal routing decision cannot be made in real time, affecting network performance. This paper proposes a cross-domain intelligent SDN routing method based on a proposed MDRL method. First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to realize the real-time acquisition of global network state information. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a prediction mechanism for the network traffic state is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time. Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and OSPF routing methods.

This paper examines how market orientation and competence of knowledge reinforce the innovation and in turn improve the business performance.

This research applied research design with quantitative approach based on positivism philosophy, that is, research aimed to test the theory and data which is general to produce findings that are special through hypothesis test. This study was supplemented by field studies as a necessary source of data in the form of trends, attitudes, opinions, perceptions of owners, managers or senior employees of SMEs in the textile industry in Bali, related to the variables used in this study.

(1) Market orientation influences business performance, (2) competence of knowledge moderates the influence of market orientation on business performance, (3) innovation moderates the influence of market orientation on business performance.

(1) Novelty of this research is developing the concept of competence of knowledge associated with business performance in which this relationship has not yet been expressed. (2) Building the concept of innovation development of small-scale industry based on the market orientation. (3) Developing the concept of innovative development of small and medium enterprises of textile industry based on competence of knowledge. (4) Investigating the concept of market orientation and competence of knowledge in an integrated and holistic way to strengthen the innovation and business performance of SMEs of the textile industry in Bali.