A case study on the Healthcare Workers in Karachi: The Effect Of Post-Covid Stress On Anxiety and Coping Mechanisms

Abstract The aim of this research was to examine the impact of post-COVID stress on the anxiety and coping mechanisms of healthcare workers. A phenomenological approach was utilized to gain a deeper understanding of the personal experiences of the participants. The results of the study revealed the challenges faced by healthcare workers in the aftermath of the pandemic and the coping strategies they employed to manage stress. These findings provide valuable insights for healthcare organizations and policymakers in their efforts to support the mental well-being of healthcare workers. Keywords: Post-covid-19, anxiety, depression, infection, mental health, pandemics, frontline workers, qualitative study, covid aftermaths

Jammer Excision Based on Computational Intelligence Techniques

This thesis deals with the removal of jamming signal in Code Division Multiple Access (CDMA) system. Nature inspired computational intelligence techniques have been studied and applied for the removal of jamming signal from the corrupted received CDMA signal. CDMA systems are generally immune from interference however if power of interferer is higher than the immunity provided by processing gain, degradation in Bit Error Rate (BER) performance is observed. Particle Swarm Optimization, Genetic Algorithm, Artificial Bee Colony and Ant Colony Optimization are the computational intelligence techniques being proposed for removal of jammer from received CDMA signal. These techniques have been optimized for fast convergence and minimum complexity. Performance comparison with existing techniques has also been provided. Performance improvement is shown by BER mininmization.