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ہر روز

غمِ روز گار کے جھمیلوں میں ہر روز
اعضائے جسم اپنے درد سے کراہتے ہیں

تو ہم بھی اک یاد کے بستر پر
روز ہی سر رکھ کر سو جاتے ہیں
فکریں تو ذہن میں سو رہتی ہیں
پر خواب میں محور بدل جاتے ہیں

یوں ہماری شب کٹتی ہے اور صبح
کسی بے نوا آواز کے طائر جگاتے ہیں
سرابِ و صل کے محل بکھرتے ہیں
اور ہم اس تلخ حالتِ اصل میں آ جاتے ہیں

پھر چکر چلتا ہے
پیٹ لاتیں مارتا ہے
ہم کام میں لگ جاتے ہیں
سب بھول جاتے ہیں

یوں اب ہم کام کے وقت کام
اور یاد کے وقت یاد کرتے ہیں
گویا کہ اب ہم سمجھ دار ہوتے جاتے ہیں

معاملة المخطئين والجاهلين في ضوء السيرة النبوية العطرة

Allah Almighty had created man with the instinct to choose between good and evil. It is nature that being a human to be indulged in some activity unconsciously and then to realize and feel sorry for the crime committed. To err is human and to forgive Devine. So sins should not be treated as a single entity for there are of various types, ranging from the small mild ones to the big severe ones, thus dividing people who commit them accordingly. When our father and mother, ate from the forbidden tree, which was wrong, they realized it there and then, and instantly felt pain and remorse and abstained from it and declared repentance with humility and knocked the door of Allah for mercy and forgiveness. Allah the almighty heard their prayers and embraced them in his mercy and forgave their sin, for he is most gracious, and most merciful. Similarly our prophet has set an ideal for treating the sinners, he did not turn his face away from them nor did he declare abandoning them or excommunicating them or even counting them as dirt that should be avoided or looked down upon. He treated them with an open heart and with utmost compassion, sympathy and tolerance, and took them by the hand to the righteous path, his sympathy was always present, a sun that never sets. This article is basically to deal with prophetic examples and virtual self how the Prophet Muhammad (ﷺ) treated the sinners and ignorant. It is suggested that the public and the rulers should be made aware about the with deal to able be would they that so, (صلى الله عليه وسلم) Prophet Holy of teaching sinner and ignorant in an effective manners by following the teaching of. (صلى الله عليه وسلم) Prophet Holy

Raman Spectroscopy Based Diagnosis of Dengue Virus Infection in Human Blood Serum.

Dengue virus (DENV) infection is a mosquito born infectious disease. Its diagnostic is utmost important for treatment, as the symptoms of disease are quite similar to other diseases. Current pathological diagnostics methods available are reverse transcriptase polymerase chain reaction (RT-PCR) and enzyme linked immunosorbent assay (ELISA). RT-PCR is used to detect the virus itself while ELISA is used to detect non-structural protein-1 (NS1) and antibodies like immunoglobulin-M (IgM) and immunoglobulin-G (IgG). Existing methods e.g. virus isolation, RT-PCR and ELISA have certain disadvantages like more time consuming, false-positive/false-negative results and expensive as compared to Raman spectroscopy. Raman spectroscopic technique provides molecular signatures, minimum running cost and online results. Raman spectra of biological samples combined with a suitable statistical data-mining technique like partial least squares (PLS) regression can be used to devise a new method for diagnosis of DENV infection in human blood sera. In present studies, this technique is successfully applied for the diagnostic of DENV infection based on three steps. A graphical user interface (GUI) was specially designed and its code was developed in MATLAB (Mathworks 2009a) programming language to implement PLS for the presented research work. First step: Raman spectra of ELISA confirmed NS1 positive and negative sera samples are discriminated by PLS regression. Analysis of regression coefficients, which differentiate these groups, shows an increasing trend for phosphatidylinositol, ceramide and amide-III, and a decreasing trend for thiocyanate in the DENV infected serum. Second step: Raman spectra of samples, with known value of ELISA based AI of IgM are discriminated by PLS regression. Analysis of regression coefficients revealed that concentration of asparagine, glutamate, galactosamine etc. were found to increase while concentration of fructose, cholesterol, cellobiose, and arabinose were found to decrease with increasing values of antibody index (AI) of IgM. Third step: Raman spectra of samples, with known value of ELISA based AI of IgG are discriminated by PLS regression. Analysis of regression coefficients revealed that myristic acid, coenzyme-A, alanine etc. were found to increase, while amide III, collagen, proteins, fatty acids, phospholipids and fucose were found to decrease with increasing values of AI of IgG. Raman spectroscopy provides not only the diagnosis of DENV infection, but it also enables the detailed insight of the abnormalities appearing in molecular composition of a sample. Importantly, Raman spectra @ 532 nm excitation were used to investigate the possible use of lactate as biomarker for DENV infection. It was found that spectral difference in healthy and infected samples is due to an elevated level of lactate in DENV infected group.
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