55. Ar-Rahman/The Immensely Merciful
I/We begin by the Blessed Name of Allah
The Immensely Merciful to all, The Infinitely Compassionate to everyone.
55:01
a. Allah - The Immensely Merciful.
55:02
a. The One WHO taught to read and understand The Qur’an.
55:03
a. HE created the human species and everything else.
55:04
a. And HE taught him intelligent thought and coherent speech.
55:05
a. The sun and the moon move in their calculated courses;
55:06
a. and the plants - herbs/grass - and the trees both comply with what is required of them - to HIS Laws.
55:07
a. And the celestial realm - HE raised up high above the earth, and
b. has set up the balance,
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a. so that you may not go beyond your own limits of the balance,
55:09
a. and establish the weight in justice, and
b. do not cheat and skimp the balance.
55:10
a. And the terrestrial world -
b. HE set it in place for the living of all creatures: humans, jinn, and others;
55:11
a. in it are fruits of immense variety, color, flavor, and taste, and
b. the date-palms with sheathed clusters of fruit stalks,
55:12
a. and also grains – wheat, corn, and barley - with its husk as fodder for your livestock, and
b. fragrant flowers and scented herbs.
55:13
a. Then how many of the Infinite Bounties of your Rabb - The Powerful Lord will you both,
human and jinn, deny?
55:14
a. HE created...
Aims of Study: To compare the level of burnout among the academic and clinical physical therapists.
Methodology: A cross sectional study was conducted from August 2019 to January 2020. Data was collected from physical therapists working in the universities and hospitals of Rawalpindi and Islamabad. Data was collected from 278 participants. Maslach burnout inventory scale was used to measure the level of burnout which was analyzed using SPSS statistics 21.
Results: The mean value of emotional exhaustion for clinical physical therapists was 20.02 ± 8.08 and for academic physical therapist was 18.6 ± 6.57 with significant p value (p˂0.05). The mean value for depersonalization for clinical physical therapists was 9.22 ± 5.17 and for academic 9.29 ± 5.07 with significant p value (p˂0.05). The mean value of personal accomplishment for clinical physical therapists and academic physical therapists was 35.43 ± 7.715 and 35.74 ± 6.49 respectively with non-significant p value (p˃0.05).
Limitations and Future Implications: It was conducted for specific time period which not record the overall or yearly impact of burnout on participants. So time lapse and longitudinal study should be done.
Originality: The clinical physical therapists have increased level of burnout than academic physical therapists.
Conclusion: The clinical physical therapists have increased level of burnout than academic physical therapists.
In wireless ad hoc networks, the devices are equipped with constrained energy resources, therefore, efficient utilization of these resources is essential to prolong the operation of the network. In this thesis, we address energy efficiency problem in selfish wireless ad hoc networks and develop multiple algorithms to improve the performance of these networks. The proposed solutions establish energy efficient network topology, minimize route discovery overhead, and reduce interference in the network, which are the primary factors that degrade the performance of the wireless ad hoc network. The proposed topology control solution establishes connections among nodes using game theory such that the energy consumption of the nodes is minimized. In order to reduce the energy consumption of the nodes during route search operation, we develop two route discovery algorithms that reduce redundant transmission of route request packets in the network. In addition, we propose an interference aware cooperative routing (IACR) protocol that minimizes the interference in the network by establishing low interference routes between source and the destination using node cooperation. As a result, improvement in network throughput and reduction in energy consumption is achieved. In order to prove the efficiency and improvement of proposed solutions, we perform extensive simulations for various network parameters and compare the results with previously proposed algorithms. The simulation results demonstrate that the proposed algorithms improve the energy consumption of individual nodes during topology establishment and route discovery phase while the IACR algorithm improves the end-to-end quality of the route. The results show that the proposed solutions are better in terms of reduced energy consumption, low end-to-end delay, higher throughput, and reduced control packet overhead as compared to conventional approaches.