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مولانا حافظ محمد اسلم جیراج پوری

مولانا حافظ محمد اسلم جیراج پوری
افسوس ہے مولانا حافظ محمد اسلم جیراج پوری بھی جو علم وادب کی صبح بہار کا ایک آخری جلوۂ گریز پاتھے۔ہم سے بچھڑ گئے اوراس خاکدانِ آب و گل کو خیرآباد کہہ کر رہ گزائے عالم آخرت ہوگئے۔مرحوم ہماری بزم علم وثقافت کے دور پیشین کی یادگار تھے۔ایک زمانہ میں اُن کے مضامین ومقالات کابڑاچرچا تھا۔ باقاعدہ اور وسیع المطالعہ عالم تھے۔ان کی تالیفات میں’تاریخ الامت‘ جو چھوٹی چھوٹی کئی جلدوں میں ہے اس کوبڑی شہرت ومقبولیت حاصل ہوئی۔اس کے علاوہ چند ادبی اور تنقیدی مضامین اورسوانحی تالیفات بھی ان کی یادگار ہیں۔جامعہ ملیہ اسلامیہ کے اولین معماروں اوربانیوں میں سے تھے اورآخر اسی کی خدمت کرتے کرتے جان جان آفرین کوسپردکری۔قرآن مجید کے ساتھ بڑاعشق اورشغف تھا، اس کے وہ حافظ بھی تھے اوربڑی پابندی سے روزاس کی تلاوت کرتے تھے۔ نہایت سادہ زندگی بسر کرتے تھے۔راقم الحروف کوجب کبھی ان کے ہاں چائے پینے کا اتفاق ہواہے کبھی بھی ایسا نہیں ہواکہ چائے کی پیالیاں صحیح وسالم پائی ہوں۔ بڑے قناعت پسند،گوشہ نشین،شہرت سے نفوراور حددرجہ متواضع اورمنکسر المزاج بزرگ تھے، جس سے جو وضع تھی بہرحال نباہتے تھے۔ حدیث کے بارے میں ان کا جو مسلک تھا اس کے باوجود ہم ارباب ندوۃالمصنفین کے ساتھ ان کے تعلقات بڑے شگفتہ تھے اور وہ کبھی نجی ملاقاتوں میں اس طرح کی بحث نہیں اُٹھاتے تھے۔یہ وضع داری اورشرافت،یہ مروت اورخوش خلقی اب عنقا ہوتی جارہی ہے۔اب آئندہ ایسے لوگ کہاں ملیں گے۔اﷲ تعالیٰ ان کو غریق رحمت فرمائے اور ان کو مغفرت وبخشش کی نعمتوں سے سرفراز فرمائے۔آمین
[جنوری ۱۹۵۶ء]

 

Domestic Violence Against Female Beggars in Hyderabad District: A Case Study Qasimabad

This Paper analyses the causes of the domestic violence against female beggars and their impacts on their lives. The paper is strictly limited to Taluka Qasimabad, District Hyderabad. The domestic violence against women exits in various forms. However, it is pretty horrible in the form being inflicted against female beggars in Qasimabad. The scores of causes for the domestic violence against female beggars range from rising poverty to population explosions with deep physical and mental impacts on the sufferers. For data collection qualitative research through Focused Group discussion method has been used through snow ball technique. 10 Cases of female beggars have been opted for the FGDs out of which two participated with their social backgrounds. The study concludes the pathetic condition of the female beggars due to multiple factors and their serious implications both physically as well as mentally. The study recommends prompt action from the Government as well as social scientist to go deep further in the social issues such as violence against the female beggars. Simultaneously there is immediate intervention of Government and the concerned department to address these issues on emergent basis as the number is likely to reach an alarming level.

Recommending Relevant Papers Using In-Text Citation Frequencies and Patterns

Scientific publications are growing exponentially. For example, more than 50 million journal papers have been published till now, and more than 2 million journal papers are added to the scientific knowledge every year. The published conference papers are in billions, and millions others are added every year. The world famous scientific databases such as Web of Science, Scopus, and PubMed etc index millions of such scientific papers, and that also despite the fact that their index either belongs to specialized domain or it is selective. There is another comprehensive index known as Google Scholar, indexes huge scientific knowledge from different domains. These systems make available the scientific knowledge to researchers. The advancement in research is always possible by standing on the shoulders of others. However, when users attempt to identify relevant papers from the mentioned systems or other similar systems, they are given millions of papers and are asked to select the most relevant papers manually by skimming those millions of papers. This creates frustration, and generally all of the selected papers do not belong to the list of papers which the users must read. In this task, many important papers are overlooked by the users as well. The identification of relevant papers from such a big data has attracted a number of researchers across the globe to find solutions to this problem. The contemporary approaches use a variety of techniques for the identification of the relevant documents such as content based approaches, metadata based approaches, collaborative filtering based approaches, co-citation analysis, and bibliographic analysis etc. However, the state-of-the-art research lacks in many directions such as its inability to find the nature of relationship between scientific documents and its failure to find how strongly two scientific documents are linked up, based on their relationship strength. To address these issues, this thesis designs, implements, and evaluates a novel approach that facilitates researchers to identify the most relevant papers in their domains. The proposed approach identifies the most relevant papers from the list of cited-by papers for the cited paper. This thesis works on the in-text citation frequencies and in-text citation patterns to identify the most relevant papers. In-text citation frequency is the number of occurrences of citations of one paper in the text of the other paper. In-text citation frequency patterns are the in-text citation evidences in different sections of the paper. The system has been implemented as a prototype for 3 CiteSeer. The proposed system has been evaluated using a number of user studies. The proposed approach shows encouraging results and assists the scientific community to identify the most relevant papers from a huge list of papers.
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