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مولانا ضیاء الدین اصلاحی

آہ! مولانا ضیاء الدین اصلاحی ؒ
دارالمصنفین کے ناظم اور معارف کے مدیر جناب مولانا ضیاء الدین اصلاحی ۲؍ فروری ۲۰۰۸؁ء کی صبح کو اپنے خالق حقیقی کے حضور پہنچ کر اس کی رحمت سے جاملے لیکن اپنے پیچھے دارالمصنفین کے ہر فرد بلکہ در و دیوار کو روتا، بلکتا چھوڑ گئے، شبلی و سلیمان کا یہ گلشن ویرانی کی تصویر بن گیا، اس جہاں علم و دانش کی روح بھی جیسے ان کی موت کے ساتھ رخصت ہوگئی اور سچ یہ ہے کہ علامہ شبلیؒ، مولانا سید سلیمان ندویؒ، مولانا شاہ معین الدین ندویؒ اور سید صباح الدین عبدالرحمانؒ کی قابل فخر روایات کی مسند اور بزم جس شمع سے روشن تھی، ایک حادثے نے اس کو گل کردیا، اِنا ﷲ وَاِنا اِلیہ رَاجِعونْ۔
مولانا اصلاحی ۳؍ جنوری کو سفر حج سے واپس آئے تھے اور بالکل چاق چوبند اور صحت مند تھے، یکم فروری کو وہ اپنی اہلیہ کے ہمراہ ایک عزیز سے ملنے کے لئے سرائے میر کے قریب موضع کھریواں کے لئے قریب ساڑھے نو بجے صبح روانہ ہوئے، جمعہ کا دن تھا، خطبہ اور نماز پڑھانے کے لئے مجھے تاکید فرمائی، عین نماز جمعہ سے پہلے یہ خبر ملی کہ ان کی جیپ حادثہ کا شکار ہوگئی ہے اور وہ صدر اسپتال میں زخمی حالت میں لائے گئے ہیں، نماز کے فوراً بعد ان کے تمام متعلقین اسپتال پہنچے، وہ سراپا زخمی تھے، ان کی اہلیہ بھی زخمی تھیں، لیکن ہوش میں تھیں، مشورے کے بعد وہ ایک مقامی سرجن ڈاکٹر فرقان کے ہسپتال میں لائے گئے، خون بہت زیادہ نکل چکا تھا، خون دیا گیا اور پھر مناسب سمجھا گیا کہ ان کو فوراً بنارس کے بی ایچ یو ہسپتال میں منتقل کیا جائے، وہاں کچھ ضروری ٹسٹ ہوئے، دوائیں بھی دی گئیں لیکن افاقے کے آثار نہیں تھے، صبح کا...

Compatibility of Education and Training in the Light of the Seerah of the Holy Prophet

Humankind has been granted a special status due to its being vicegerent of Allah on earth for he has been entrusted with the responsibility to keep order in the world according to the directives of its Creator. Humans are guided by Prophets in history. Some of these Prophets have got greater value, sphere and depth of influence on humanity due to different factors. Muhammad (Peace Be Upon Him) is the last Prophet of Allah, for the eternity and whole humanity. After him, Islam is completed for all times to come. Islam is a complete code of life; education and training constituting its crux. Prophet Muhammad (Peace Be Upon Him) was greatly concerned and cognizant of education and training of his followers which is evident from multifarious events of his life.  Major emphasis was laid on training coupled with education and both are, thus, inevitably interlocked with each other. It is clear that education was considered an assimilation of knowledge and training was taken as its reflection in daily life. The verses of the Holy Quran and sayings of the Holy Prophet (Peace Be Upon Him) bear a perfect testimony to this aspect of foremost significance. The earlier people in the fold of Islam were much concerned about training and nurturing, hence they avoided mere memorization of facts. The present paper is an attempt to discover the compatibility between education and training in the light of the paradigm of secret of the Prophet (Peace Be Upon Him) of Islam.

Prevalence and Risk Factors Associated With Preterm Birth in Pakistan: Meta-Analysis and Data Mining Approach

Objectives: The current study was planned with 4 main objectives; the first objective was to find prevalence of PTB in Pakistan (by taking primary data) and to find the global pooled prevalence (using Meta-analysis), 2nd objective was to explore risk of PTB in presence of different risk factors like, 3rd objective was to compare number of risk factors by scoring / indexing of factors contributing to PTB and 4th objective was to see combined effect of all risk factors of different domains in terms of number of risk factors. Methodology: Data collected from departments of Gynecology of four different hospitals of major provinces of Pakistan and secondary data of published reaches was utilized for Meta-analysis. A total of 1,691 females were taken in current study with the help of consultant gynecologists or duty staff nurse to note their gestational age after delivery to find prevalence of preterm birth in Pakistan and 46 studies (n = 6,788,033) were used to find pooled prevalence of preterm birth using Meta-analysis technique. To find risk factors of preterm birth two groups were made i.e. preterm birth (served as cases) and full term birth (served as controls) taken from those 1,691 females. The advanced data mining techniques like Binary Logistic Regression (LR), Artificial Neural Networks (ANNs) and Support Vector Machine (SVM) were used to find best predictive accuracy of preterm birth in presence of different factors. Lastly scoring/indexing of different domains was done to know the combined impact of number of factors for preterm birth. Results: According to results of this study prevalence of preterm birth was found as 21.64% females and overall pooled prevalence of preterm birth was found as 11.3%. Using different data mining techniques the heights sensitivity and specificity were provided by Support Vector Machine (SVM) preceded by Artificial Neural Networks (ANNs) and Logistic Regression. Interestingly highest area under receiver operator characteristic curve (ROC) was calculated as 96.95% using ANNs, the area under curve of ROC for Logistic Regression was 93.89% and of SVM was 96.81%. Conclusion: Based on the findings a high prevalence of preterm birth was found in Pakistan and globally using Meta-analysis. Many modifiable and controllable risk factors like body mass index, different curable diseases or conditions during pregnancy and fetal conditions were found.
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