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This study aims to examine the nexus of the US rebalance strategy to Asia and the US–China rivalry in the South China Sea (SCS) from the perspective of the offensive realism theory.

The study depends on the descriptive approach that deals with the analysis and description of the phenomenon. Also, the study uses the qualitative method to analyze the primary sources concerning the rebalance.

The study has found four results: first, the rebalance strategy to Asia is a comprehensive strategy to contain China’s rise. Second, China’s offensive strategy in the SCS since 2008 has been the main driver of launching the rebalance. Third, offensive realism presents a convenient analysis to understand the rebalance, China’s offensive strategy in the SCS, and the US–China rivalry in the SCS. Forth, SCS is one of the most important venues of the US–China rivalry for global hegemony.

Limited to the period from 2009 to 2016. The Obama Era.

This study highlights the centrality of the SCS in the US–China global rivalry that has not been yet well researched.

In this work, a microstrip antenna array for wireless power transfer (WPT) application is reported. The proposed 4 × 4 antenna array operating at 16 GHz is designed using a flexible Kapton polyimide substrate for a far-field charging unit (FFCU).

The proposed antenna is designed using the transmission line model on a flexible Kapton polyimide substrate. The finite element method (FEM) is used to perform the full-wave electromagnetic analysis of the proposed design.

The antenna offers −10 dB bandwidth of 240 MHz with beam width and broadside gain found to be 29.4° and 16.38 dB, respectively. Also, a very low cross-polarization level of −34.23 dB is achieved with a radiation efficiency of 36.67%. The array is capable of scanning −15° to +15° in both the elevation and azimuth planes.

The radiation characteristics achieved suggest that the flexible substrate antenna is suitable for wireless charging purposes.

This paper reports a new technique for achieving optimized design for power system stabilizers. In any large scale interconnected systems, disturbances of small magnitudes are very common and low frequency oscillations pose a major problem. Hence small signal stability analysis is very important for analyzing system stability and performance. Power System Stabilizers (PSS) are used in these large interconnected systems for damping out low-frequency oscillations by providing auxiliary control signals to the generator excitation input. In this paper, collective decision optimization (CDO) algorithm, a meta-heuristic approach based on the decision making approach of human beings, has been applied for the optimal design of PSS. PSS parameters are tuned for the objective function, involving eigenvalues and damping ratios of the lightly damped electromechanical modes over a wide range of operating conditions. Also, optimal locations for PSS placement have been derived. Comparative study of the results obtained using CDO with those of grey wolf optimizer (GWO), differential Evolution (DE), Whale Optimization Algorithm (WOA) and crow search algorithm (CSA) methods, established the robustness of the algorithm in designing PSS under different operating conditions.