For the deficiency of the basic sine-cosine algorithm in dealing with global optimization problems such as the low solution precision and the slow convergence speed, a new improved sine-cosine algorithm is proposed in this paper. The improvement involves three optimization strategies. Firstly, the method of exponential decreasing conversion parameter and linear decreasing inertia weight is adopted to balance the global exploration and local development ability of the algorithm. Secondly, it uses the random individuals near the optimal individuals to replace the optimal individuals in the primary algorithm, which allows the algorithm to easily jump out of the local optimum and increases the search range effectively. Finally, the greedy Levy mutation strategy is used for the optimal individuals to enhance the local development ability of the algorithm. The experimental results show that the proposed algorithm can effectively avoid falling into the local optimum, and it has faster convergence speed and higher optimization accuracy.

This paper explores the applicability of the 'Western' concept of psychological capital to the People's Republic of China (PRC) context and highlights critical areas of divergence. Employing a grounded approach, Optimism, Creativity, Resiliency, Self-confidence, Forgiveness and Gratitude, Courage and Ambition (Hope) were found to be common types of psychological capital both in China and in the West. However, the dimensions Courtesy, Humility, Self-possession and Sincerity fell into the 'different' category of our analysis on psychological capital since these concepts were relevant in the West, however, they are not perceived as dimensions of psychological capital in the literature.

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Relationship marketing has been a major topic in marketing literature but limited research has attempted to conceptualize the relationship and its interactions especially in a Chinese context. This paper provides a comprehensive review on the strategy of relationship marketing in Chinese public legal service agencies.

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