Work-family conflict and fear of COVID-19 and its relationship with the physical and mental health of Pakistani working women

Work-family conflict is a conflict between societal expectations and the interaction of interrelated work and family domains. It is essential to understand the impact of COVID-19 on working women's physical and mental health in Pakistan to advise better health policy. This research aims to determine work-family conflict’s impact on working women’s physical and mental health. Through non-probability sampling, 100 working women were sampled online across different cities of Pakistan. The participants were selected from different working fields. Only women above the age of 20 years were eligible for participation in this study. The study found that work-family conflict positively correlates with the fear of COVID19, blood pressure, depression, and anxiety symptoms. Psychologists, counselors, and general physicians for primary and preventive care in Pakistan need to work towards counselling and supporting the health needs of working women to prevent biopsychosocial problems related to work-family conflict and fear of COVID-19. Keywords: anxiety, blood pressure, depression, fear of covid-19, work-family conflict.

Link to System L2s Interfacting for Advanced Receiver Strategies

The size and complexity of wireless communication networks have grown tremendously over the last few decades. Analysis of a wireless communication system requires computer simulations of the entire communication network, spanning multiple cells with a large number of base stations and mobile terminals. This normally involves complex physical layer computations in order to evaluate the receiver performance with the transmitted signals subjected to interference, multipath propagation, and shadowing. Link to system (L2S) interfacing reduces the computational complexity associated with the physical layer performance evaluation of multiple communication links by predicting the receiver behavior under different channel conditions using precalculated lookup tables (LUTs). This thesis investigates the L2S interfacing for different advanced receiver strategies using various nonlinear mapping functions. Different transmission scenarios such as single input single output, single input multiple output, and multiple input multiple output are considered. Besides using the conventional AWGN channel performance as the reference LUT, the mean of different channel frame error performance is also suggested as reference and the prediction accuracy of both have been compared. L2S framework has been implemented using the post detection signal to noise ratio (SNR) values as the received signal quality measure. The existing L2S work for SISO, linear MIMO systems has been extended to iterative and maximum likelihood receivers, where finding an accurate estimate of the received signal quality which is highly correlated to the receiver output is an open problem and needs to be fully explored. Algorithms for the post detection SNR value estimation for iterative and maximum likelihood receivers have been proposed and their prediction performance is validated for diverse communication channels. It is shown that, the post detection SNR value is an accurate measure of the quality of the received signal. However, for MIMO system with single stream encoding, the accurate estimation of the post detection SNR value for each individual link is not essential, but rather an accurate average value over multiple links is found to be sufficient.