نعمان سلیم کی انگریزی نظم کا ترجمہ ۔۔۔عنبرین خان
شبِ تیرہ کی سیاہی کے چند خاموش،
بے رنگ، دودھیا لمحوں میں
خوابیدہ رہے ہم تم
یہاں آؤ
گھڑی بھر کو
تم اپنی سرخ ہتھیلی کو کھڑکی پر ٹکا کے
دھند کے اس پار،
افق سے بھی پرے دیکھو
سنو!
سرگوشیاں چلتی ہواؤں کی
یہ موسم، جان و دل کے زخم بوسیدہ، پرانے سب،
ہرے کرنے کا موسم ہے
وہ دیکھو!
دور اوپر آسماں کی وسعتوں میں
سرمئی گہرائیاں ہم کو بلاتی ہیں
چلو آؤ!
کہ ہم بانہوں میں بانہیں ڈال کر
آغاز کرتے ہیں، نئی اک بےکراں
نیلی، بنفشی سی مسافت کا
کہ ہر حد سے پرے
ہم نور کی پرواز کرتے ہیں
Emergence of biomedical research and innovation with an unprecedented speed has created number of opportunities and challenges for policy makers. On the one hand, it is now possible to introduce tailor-made personal medication regime for an ailing patient to offer state of the art treatments. On the other hand, several ethical and legal issues have been raised due to the complex nature of emerging technologies. Policy makers all over the world are constantly addressing these challenges by continuously upgrading their respective professional and regulatory frameworks. This article is an attempt to highlight Shariah maxims which have contemporary application in medical field. Lately, there has been a lot of interest in the debate of Shariah maxims and many scholars have used maxims-based analytical frameworks to show the dynamic application of Islamic law. This article builds upon those works by focusing on issues related to the medical field.
Advancement in technology makes this world a global village. People are connected with one another through social networks or they engage in online hiring or purchasing of products. This makes a drastic change in our industrial working patterns. Today?s market change from service oriented to customer oriented. For this purpose individual first have to look at reviews or user?s opinion about a product, customer?s feedback helps them in hiring or purchasing. Sentiment analysis or opinion mining plays a significant role in decision making process, as this analysis is being used to analyze user?s feeling, attitude and emotional attraction towards a product, social networks or it could be any article or blog. People?s attitude/reviews towards a product could be categorized as negative, positive or neutral. In this research work will mine these customer?s attitudes/opinions/reviews by using machine learning mechanism which helps to enhance the decision making process in order to categorize individual?s attitude in future.