فراقؔ گورکھپوری
آج کل رگھوپتی سہائے فراق گورکھپوری پر بھی ماتم بپا ہے وہ اس دار فانی سے رخصت ہوئے تو اپنے ساتھ اردو شاعری کی بہت سی رعنائیاں اور جلوہ سامانیاں بھی ساتھ لیتے گئے، فانیؔ، اصغرؔ، جگرؔ اور حسرتؔ کے بعد اردو شاعری کے لال قلعہ کے تخت طاؤس پر بیٹھ کر وہی شاہجہانی کرتے رہے، زبان کی زور آوری، فن کی ہمہ گیری، احساسِ جمال کی مرقع آرائی، رومانیت اور کلاسکیت کی ہم آہنگی غزل گوئی کی آئندہ ساخت و پرداخت میں رہبری، کیفیت و حلاوت کی رنگ آمیزی اور اردو زبان کی بے پناہ محبت کی فراوانی میں وہ یگانۂ روزگار رہے، وہ خود کہہ گئے ہیں:
کچھ درد دے گیا ہوں زمانے کو اے فراقؔ
یہ سوچ کر کہ بعد میں یہ کام آئیں گے
(صباح الدین عبدالرحمن، اپریل ۱۹۸۲ء)
In the field of Defective Narrations or Ahādith Mu'allah, collection and study of chains and tracks have great importance. It is this process in which the difference in the texts and chains of narrations comes to the surface and their defects become evident. This difference in text and chains has different types, like: Waṣl wa Irsāl: the presence or the absence of a narrator in the chain of a narration. Raf' wa Waqf: attribution of a narration to the Prophet (PBUH) or to his companion. Addition or Deletion in the text or in the chain of a narration Sometimes, a narration has more than one types of differences. To determine the preference among the differences of the said types, scholars of Hadith (muḥaddithīn) have to use Presumptions of Preference or Qarā'in al-Tarjīḥ. Some of these presumptions are common among the hadith scholars known as Common Presumptions or Qarā'in Aghlabiyah. The present research discusses these presumptions with examples in light of the book al-'Ilal al-Wāridah fi al- Ahādith al-Nabawiyah authored by Imām al-Dārqutnī.
Contemporary approaches targeted towards precision medicine have shown significant achievements in most of the cancers by generating ‘big data’ across a range of high-throughput experimental and analytical podiums, yet significant problems remain. Integrative scrutinization of this data represents one of the greatest bottlenecks in cancer and other diseases. Surmounting this limitation necessitates integrative analysis of multiple layers of molecular information. Cancer represents a growing source and principal cause of morbidity and mortality in the human population, continuing to stymie clinical treatment efforts. Among various cancers, hepatocellular carcinoma (HCC) is now becoming the fastest growing cancer globally, mainly driven by the ageing HCV/HBV population and extremely limited therapies. There is currently considerable imprecision in optimal diagnostic and therapeutic strategies for HCC. The mounting assemblage of high-throughput data available in publicly accessible databases provides valuable source for generating preliminary in-silico data in support of novel conjectures. Bioinformatic initiatives that combine large amounts of cancer data represents an emerging frontier and are likely to play increasingly important roles. Current study endeavored to define an optimal and feasible method in order to gain new insights into HCC. Our comprehensive integrated analyses found seven novel HCC-specific circulating protein biomarkers including HSD11B1, SERPINC1, C8A, ADH6, CYP2A6, MBL2, UPB1, four highly deleterious HCC-associated Single-nucleotide polymorphisms (SNPs) including SCD1 R126S, SCD1 Y218C, BECN1 I403T, LC3B Y113C, seven miRNAs belonging to miR-17-92 cluster (has-miR-17-3p, has-miR-17-5p, has-miR-19b, has-miR-19a, has-miR-18a, has-miR-20a and miR-92) having a significant impact on drug resistance in HCC as well as uncovered new details about the potential Abstract xx role of circular RNA circ-DNMT1 in HCC. The present study well demonstrated that a comprehensive integrative informatics approach can be employed as an efficient screening stratagem to effectively extract worthwhile insights from a massive amount of complex, multidimensional molecular datasets.