69. Al-Haqqah/The True Reality
I/We begin by the Blessed Name of Allah
The Immensely Merciful to all, The Infinitely Compassionate to everyone.
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a. The True Reality!
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a. What is the True Reality?
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a. And what may enable you to comprehend the True Reality?
b. It is The Time of Resurrection and the Final Judgment.
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a. The people of the tribes of Thamud and ‘Ad denied coming of the calamity: the Time of Resurrection and Final Judgment.
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a. As for Thamud, they were destroyed by a severe thunderbolt.
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a. And as for ‘Ad, they were destroyed by furiously violent cold blast of roaring wind storm -
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a. HE unleashed upon them for seven long grueling nights and eight long days, in succession,
b. so that you could see the people lying dead on the ground like the uprooted hollow palm trunks.
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a. So do you see any of them remaining now?
b. No!
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a. And Pharaoh too, and those sinful communities before him, and the habitations of Sodom and Gomorrah overturned - which the people of Lot inhabited - indulged in grave sins.
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a. When they denied and belied the Messenger of their Rabb - The Lord,
b. then HE seized them with an overwhelming seizing - one exceeding the other in its severity.
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a. And when the water level rose high - exceeding all limits - during the forty days and forty nights of Great Flooding, WE carried you to safety in the floating Ark.
This research aims to determine the prediction and level of accuracy of bankruptcy predictions between the Altman, Zmijewski, Grover, Springate, Fulmer, and Foster models. The sample used in this research is a transportation sector service company listed on the Indonesia Stock Exchange. The sample was selected using a purposive sampling technique and obtained a sample size of 21 companies from a population of 47 companies. In this research, the data analysis technique used is descriptive analysis. Based on the results of data analysis, there are differences in results between the Altman, Zmijewski, Grover, Springate, Fulmer, and Foster models in predicting bankruptcy. The accuracy levels obtained from the highest to the lowest respectively were the Grover model (76%), Zmijewski model (71%), Springate model (67%). Fulmer model (57%), Altman model (43%), and Foster model (38%). The Grover model is a bankruptcy prediction model that has the highest accuracy rate of 76%.
Present work refers to the design, synthesis, bioevaluation and computational studies of multifunctionalized dihydropyrimidines (DHPMs) known to possess immense pharmacological activities. A series of DHPM derivatives were synthesized by different strategies. In the first strategy, one pot Biginelli reaction was carried out using three building blocks (i.e. aryl aldehydes, 1,3-dicarbonyl compounds and diamino compounds). Hence three different types of DHPMs namely 4-aryl-3,4- dihydropyrimidine-2-ones (1-44), 4-aryl-3,4-dihydropyrimidine-2-thiones (45-69) and 2-amino-1,4-DHPMs (70-79) were synthesized. Through this strategy diversity was introduced at N1, C2, C4, C5 and C6 positions of pyrimidine nucleus. Moreover, keeping in view the difficulties during the synthesis of DHPM via Biginelli three component reaction, the conditions were optimized by doing these reactions through different modes such as sonication, microwave irradiation, as well as through conventional heating. Excellent yields without any side products were obtained under mild reaction conditions under sonication using a cheap catalyst i.e. SnCl 2 . Based on a simple nucleophilic displacement scheme, another set of 2-aminopyrimidines (83-87) was also synthesized. The second strategy involved modification of different functionalities of DHPM nucleus synthesized previously through one pot strategy. This led to introduction of different diversity elements farther at C5 and C6 positions leading to pyrimidines 88-92. Besides synthesizing a variety of pyrimidines, partial synthesis of ispinesib (a well known KSP inhibitor) was carried out via two routes with a view to optimize the reaction conditions and yield of the rate limiting step each of the two synthetic strategies. Since the synthesized dihydropyrimidines are anticipated to have important pharmacological properties, therefore, all these compounds were subjected to in vitro screening for studying their potential as urease inhibitors, xanthine oxidase inhibitors, thymidine phosphorylase inhibitors, potato disc tumor inhibitors and as antiglycation agents. Compound 53 was found to have very strong potential as urease inhibitor and may serve as a lead for developing into antiulcer drug. iiiIn silico studies were also carried out on the most active compounds identified in different bioassays by doing molecular docking and pharmacophore matching. Furthermore, in silico designing of DHPM based KSP, urease and thymidine phosphorylase inhibitors was carried out with a view to develop novel KSP, urease and TP inhibitors.