No abstract

Khadim Rizvi’s open manifestation of religion helped him become one of the most popular leaders of Barelvi-Sunni Muslims in Pakistani Punjab. He emerged as the leader of a moral community during a crisis. After a series of protests and negotiated agreements with the federal and provincial governments, he was able to translate his support into electoral power. In the 2018 election, his TLP bagged 1.8 million votes (National Assembly seats) from Punjab. It was the first instance in recent political history when a newcomer religious party finished third in the province. No religious party had been able, in the last three elections (2008, 2013, 2018), to impact elections in Punjab as the TLP did in 2018.

Cultural exchange between Pakistani and Chinese citizens increased after the launch of CPEC. Cooperation and understanding between the governments extended to collaboration and acceptance among the people. And people-to-people relations between the two sides strengthened. Students, artists, sportspersons, businesspeople, professionals, and workers travelled and developed a rapport with locals. A detailed study of the Sahiwal coal power plant and nearby villages, comprising data collection through fieldwork, shows that despite cultural diversity, managers and workers from both sides accepted the cultural diversity and worked for mutual benefit. People working at the power plant exchanged material and non-material cultures with each other that helped them manage cultural diversity. And they strengthened cross-cultural relations, for their exchanges were rewarding and mutually beneficial.

In this paper, a new Meyer neuro-evolutionary computational algorithm is introduced for mathematical modeling of the epidemiological smoking model by employing hybrid heuristics of Meyer wavelet neural network with global optimized search efficiency of genetic algorithm and sequential quadratic programming. According to the World Health Organization, tobacco consumption kills 10% of all adults worldwide. The smoking epidemic is often regarded as the greatest health threat that humanity has ever confronted. So it’s an important issue to address by employing hybrid suggested techniques. The Meyer wavelet modeling approach is exploited to describe the system model epidemiological smoking in a mean squared error-based function, and the systems are optimized using the proposed approach’s combined optimizing capability. Root mean square error, Theil’s inequality factor, and mean absolute deviation-based measurements are used to better verify the effectiveness of the suggested methodology. The combined approach for smoking model is verified, validated, and perfected through comparison investigations of reference results on stability, precision, convergence, and reliability criteria, which shows the novelty of this study. Furthermore, the results of the quantitative study support the value of the suggested approach-based stochastic algorithm. The values of absolute error lie between 10[Formula: see text] and 102, 10[Formula: see text] and 10[Formula: see text], 10[Formula: see text] and 10[Formula: see text], 10[Formula: see text] and 10[Formula: see text], 10[Formula: see text] and 10[Formula: see text], and 10[Formula: see text] and 10[Formula: see text]. The convergence measurement values for Theil’s inequality coefficient lie between 10[Formula: see text] and 100, 10[Formula: see text] and 10[Formula: see text], 10[Formula: see text] and 10[Formula: see text], 10[Formula: see text] and 10[Formula: see text], 10[Formula: see text] and 10[Formula: see text], and 10[Formula: see text] and 10[Formula: see text].