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ڈ اکٹر تارا چند

ڈاکٹر تارا چند
گذشتہ اکتوبر میں ڈاکٹر تاراچند کے انتقال پر ملال سے بھی ہندوستان میں ایک بڑا علمی خلاء پیدا ہوگیا، وہ الہ آباد کے کایستھ پاٹ شالہ کی مدرسی اور پرنسپلی کے بعد الہ آباد یونیورسٹی کے وائس چانسلر بھی ہوئے، پھر حکومت ہند کے تعلیمی مشیر بنے، ایران میں ہندوستان کی طرف سے سفیر بناکر بھیجے گئے، وہاں سے واپسی پر پارلیمنٹ کے رکن نامزد کئے گئے لیکن ان کی اصلی شہرت اور مقبولیت ایک بلند پایہ مورخ کی حیثیت سے ہوئی، انھوں نے ’’انفلوانس آف اسلام ان انڈین کلچر‘‘ پر ایک مقالہ لکھ کر آکسفورڈ سے ڈاکٹریٹ کی ڈگری حاصل کی، یہ ان کی ابتدائی تحقیقی کوشش تھی، لیکن اس سے بہتر کتاب اس موضوع پر اب تک نہیں نکلی، آخر میں وہ ہسٹری آف دی فریڈم موومنٹ کے بورڈ کے اڈیٹر تھے، ان کی ادارت میں یہ کام بڑی خوش اسلوبی سے انجام پاتا رہا، ان کی تحقیقی تحریروں میں دیدہ دری کے ساتھ بڑی فراخدلی بھی ہوتی، وہ ہندی اردو کی حسین آمیزش یعنی ہندوستانی زبان کے بھی بڑے موئد تھے، اس کے کچھ اچھے نمونے بھی لکھ کر پیش کرتے رہے، ان کی نیک نامی اور مورخانہ بصیرت کی وجہ سے ان کی خوشگوار یادوں کا چراغ علمی حلقہ میں برابر روشن رہے گا۔ (’’ص ، ع‘‘، نومبر ۱۹۷۳ء)

Protection of Working Women Rights in the Light of the Teachings of Islam

Men and women are the backbone of human civilization and both play their due roles in the society. In the present era, women are found engaged in every walk of life. Their potential was appreciated in the fields of education, research and medical since long but now they have also got prominence in the fields like army, politics, games, culture, economy, engineering and even avionics. Woman of the modern era is now a good mixture of a conscious wife, affectionate and educated mother and an active worker by increasing her importance and status through achievements in all walks of life. The main purpose of the paper was to identify the rights of women at workplace and to highlight the protection given by Islam for the rights of working women. The study was descriptive in nature. Relevant Hadiths and the examples from the lives of Sahaba regarding the justification of women to work and how their rights to be protected, was discussed. The need of the hour is to create a protected environment for women to work with dignity, without the fear of harassment and abuse which will in turn bring higher productivity and better quality of life at work.

Retinal Image Analysis & Hybrid Classifier for Screening of Diabetic Retinopathy

Medical image analysis is very popular research area these days in which digital images are analyzed for the diagnosis and screening of different medical problems. Diabetic retinopathy (DR) is an eye disease caused by the increase of insulin in blood and may cause blindness if not treated in time. Healthy retina contains blood vessels, optic disc and macula as main components but abnormal retina may contain other components and signs as well. An au- tomated system for early detection of DR can save patient’s vision and can also help the ophthalmologists in screening of DR. In this thesis, we develop algorithms for retinal image analysis based on image processing and pattern classification. Image processing techniques are used for retinal image enhancement and pattern recognition is used for classification of DR stages. The proposed system consists of different stages such as preprocessing, compo- nent extraction, candidate region detection, feature extraction and finally the classification. The first phase consists of input retinal image enhancement, noise removal, extraction of main retinal components and candidate lesions detection. We apply Gabor wavelets and Gabor filter banks for lesion detection. The system then extracts features from candidate lesions using four main properties, i.e. shape, color, gray level and statistical. Finally the classifier takes the feature vectors as inputs and grades the input retinal image into dif- ferent stages of DR. We present a hybrid classifier which combines the Gaussian Mixture Model (GMM), Support Vector Machine (SVM) and an extension of multimodel mediod based modeling approach in an ensemble to improve the accuracy of classification. The im- plemented algorithms are tested and evaluated on publicly available retinal image databases using performance parameters such as sensitivity, specificity, positive predictive value and accuracy. The performance improvement of our proposed system is demonstrated by com- paring them with recently proposed and published methods.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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