Introduction of Anjuman Khuddām Al-Qur’ān
Anjuman Khuddām al-Qur’ān was established by Dr. Isrār Aḥmad in March 1972A. D. It was registered in November 1972A. D and Dr. Isrār Aḥmad was declared as lifetime president.[1]
The Memorandum of the Anjuman has the following contents:
Naḥmaduhū wa Nuṣallī ‘alā Rasūlehil karīm
Bismillāh al- Raḥmān al-Raḥīm
It is strongly felt that the dream of the renaissance of Islām and the second tenure for supremacy of righteous Dīn cannot be fulfilled without initiating a general movement to invoke faith in Muslim Ummah. To achieve this, it is mandatory that the source of faith and belief, i. e, the doctrine of intellect and wisdom by the Qur’ān should be publicized on a wide scale. Since we are in harmony with the thoughts of Dr. Isrār Aḥmad by overviewing his matchless task performed by him for the last four and half years, we, the few servants of The Divine Book hereby decide to set up “Central Anjuman Khuddām al-Qur’ān” which under the guidance of Dr. Isrār Aḥmad will keep striving the following objectives:
1. Learning and customization of the Arabic Language.
2. General persuasion and an invitation to study the Qur’ān.
3. Transmitting and publishing the Qur’ānic disciplines.
4. Adequate grooming and training of the youth who can make teaching and learning of the Qur’ān the life-mission, and
5. Setting up of aQur’ān Academy which may present across philosophy and wisdom of the Qur’ān at the highest academic level.
May Allāh enable us to achieve these objectives by putting in maximum effort and sacrifice! (Āmīn)
We are:...
Legislation means enacting Laws and regulations that run people's lives. The democratic system gives this right to the members of Parliament and Senators, or Committees to frame laws for promoting the human right in this system. While the legislation in Islam vested in Allah Almighty, and not shared by any close angel or a Prophet. It is confined in the Holy Quran and Sunnah of Mohammad (SAW. Islamic system provides
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.