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In this paper, the boundedness and complete stability of complex-valued neural networks (CVNNs) with time delay are studied. Some conditions to guarantee the boundedness of the CVNNs are derived using local inhibition. Moreover, under the boundedness conditions, a compact set that globally attracts all the trajectories of the network is also given. Additionally, several conditions in terms of real-valued linear matrix inequalities (LMIs) for complete stability of the CVNNs are established via the energy minimization method and the approach that converts the complex-valued LMIs to real-valued ones. Examples with simulation results are given to show the effectiveness of the theoretical analysis.

This novel study explores the driving forces and dynamics of rapid urbanization, highlighting the main causes and effects of urban explosion, environmental disruption, and city pattern transformation. This study was carried out that how urbanization and urban sprawl have influenced the structure of the city of Sulaymaniah in Kurdistan region of Iraq. This is because over the years many urban areas have experienced dramatic growth and population explosion that has resulted in the exhaustion of social amenities in the concerned communities. For this purpose, a qualitative method is used based on in-depth face-to-face interviews with local authority, including planners, architects, and experts of master planning, as well as professors in the academic institutions. This study also utilizes extensive document analysis to present the evolution of urban growth. The findings reveal that the autonomy, political conflict, non-implementation of master plans, and economic prosperity are the driving forces which are accelerating this urbanization process. It is proposed that the practical policies and strategic urban development plans are urgent requirement to control the unplanned urban growth and stimulate the desired sustainable future urban development.

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