86. Al-Tariq/The Star of Brilliant Brightness
I/We begin by the Blessed Name of Allah
The Immensely Merciful to all, The Infinitely Compassionate to everyone.
86:01
a. By the celestial realm and the Tariq.
86:02
a. And what may enable you to comprehend the Tariq?
86:03
a. Tariq is the star of brilliant brightness before dawn.
86:04
a. There is a guardian angel set up over every human being.
86:05
a. So let every human being reflect of what insignificant substance he is created -
86:06
a. - he is created out of a mingling of seminal and ovarian spurting fluid,
86:07
a. emerging from between the male’s hip and the female’s pelvis.
86:08
a. Surely, HE is Able to bring him back to life-
86:09
a. - at the Time when all secrets of his deeds, dealings and speech will be exposed and judged,
86:10
a. then he will have no power to hide them, and
b. no supporter to help him avoid the consequences.
86:11
a. By the sky clouds giving rain, time and again,
86:12
a. and the land/earth too splitting time and again -
b. for gushing of springs and growth of vegetation.
c. and human beings during the Time of Resurrection.
728 Surah 86 * Al-Tariq
86:13
a. Indeed, this - Qur’an - is the Decisive Word!
86:14
a. And it is not for amusement.
86:15
a. Indeed, they are devising a plot/false arguments against The Prophet,
86:16
This study evaluates the handling of corruption cases by the Prosecutor's Office, the Police and the Corruption Eradication Commission throughout 2022 and gives a fair grade (C) with a handling percentage of about 50% of the target of 2,772 cases. A comparative assessment of the last five years illustrates the dynamics of the handling of corruption cases. Quantitative charts highlight trends in enforcement, from the number of cases to potential losses to the state. Mapping corruption cases using the influence peddling mode involves identifying, analyzing, and summarizing patterns. Mapping steps include identification of cases, analysis of characteristics, creation of visual maps, integration of contextual factors, trend analysis, and recommendations. This mapping supports the understanding and formulation of strategies for dealing with corruption cases using the influence trading mode. In 2022, budget abuse dominates, followed by price gouging and fictitious activities. The high prevalence of these three methods indicates a lack of oversight in development and widespread corruption in the procurement of goods and services. Of the 579 cases, 43% involved the procurement of goods and services. Influence trading methods were also identified and used 19 times. The delegation of great authority to regional heads creates bargaining in the promotion and transfer of ASN. The case of buying and selling positions involving Regional Heads and ASN reflects the symbiosis between the two, with greed for power and ASN's desire to obtain immediate positions. The rise in this case is likened to an iceberg phenomenon, with the possibility that many cases have yet to be discovered.
Introduction: The World Health Organization defines infertility as the failure of achieving conception after one year of unprotected intercourse. Worldwide, approximately 15% of couples are affected by infertility and genetic anomalies account for 15-30% of male factor infertility. Nearly 15% of infertile males suffer from azoospermia in the form of obstructive azoospermia or non-obstructive spermatogenic failure. Polycystic Ovary Syndrome (PCOS) was contributing 6-10% infertility in female population. Environmental and genetic factors are involved. However; etiology of PCOS still remains debatable. Primary Ovarian Insufficiency (POI) or Premature Ovarian Failure (POF) affects 1- 2% of women, and is characterized by amenorrhea before the age of 40 years. POI is heritable in up to 30% of individuals. Methodology: The study presented in the dissertation describes clinical and genetic analysis of twelve Pakistani infertile families (A-L) exhibiting azoospermia, POF, PCOS, Y chromosome microdeletions and chromosomal aberrations. These families were collected from different districts of Khyber Pakhtunkhwa Pakistan. Informed consents were taken from all the participants. Results: In this study, we investigated four azoospermic families (A-D) by whole exome sequencing (WES) analysis. WES data analysis of family A with two males with obstructive azoospermia and two fertile members (mother and brother) revealed a novel nonsense variant c.2326C>T (p.R776X) in dominant X-linked ADGRG2. WES data analysis and Sanger sequencing of family B with one azoospermic male, one fertile brother and parents revealed a compound heterozygous variant in AFF4, including c.3319A>G (p.T1107A). In family C one proband and parents samples were subjected for WES analysis, but no pathogenic variants were identified. WES data analysis of family D with one infertile brother, one fertile brother and parents revealed a novel nonsense variant c.646G>A (p.G216R) in X-linked AR. In family E, WES was performed for four family members and seven potential variants were identified but Sanger sequencing failed to confirm any pathogenic variant. Family F has two daughters displaying primary amenorrhea, elevated LH/FSH levels, atrophic uteri, reduced ovarian reserves, and normal 46XX karyotypes. WES analysis of five family members (parents, two affected daughters and one unaffected daughter) revealed a novel frame shift variant (c.709delC, p.Leu237fs) in the luteinizing hormone/choriogonadotropin receptor (LHCGR) gene. PCOS Families G, H and I were investigated for pathogenic variants. SNP microarray and WES analysis failed to identify pathogenic variants in PCOS families. Family J showed Y chromosome microdeletions (AZFc) in two azoospermic brothers. Families K and L exhibited chromosomal aberrations; OX and XXY karyotypes in azoospermic members in families respectively. Conclusion: Four families revealed novel variants as the likely cause of infertility (ADGRG2, nonsense variant (c.2326C>T); AR nonsense variant (c.646G>A); AFF4 compound heterozygous (c.3319A>G); LHCGR, frame-shift variant (c.709delC). WES in four families (three PCOS one POF) families could not identify genetic causes in the coding region. One family exhibited “Y” chromosome microdeletion (AZFc region deletion) and two families were found with chromosomal aberrations (XXY and OX).