نیل کے سنگ سنگ
پروفیسر غضنفر علی
(جامعہ ملیہ اسلامیہ ،دہلی، ہندوستان)
کچھ لوگ دیکھی ہوئی دنیا کو بھی ٹھیک سے دیکھ نہیں پاتے کہ وہ نگاہوں میں آتی تو ہے مگر پتلیوں سے نکل جاتی ہے۔ مگر کچھ لوگ ایسے بھی ہوتے ہیں کہ دنیا کو خود تو جی بھر کر دیکھتے ہی ہیں، اپنی دیکھی ہوئی اس دنیا کو دوسروں کی آنکھوں میں بھی منتقل کر دینا چاہتے ہیں۔ ان کی اس چاہ کے پیچھے منشا یہ ہوتا ہے کہ وہ دنیا کے رنگ و آہنگ کو ان دیدوں تک بھی پہنچا دیں جن کی نگاہیں پپوٹوں کے اندر بند رہتی ہیں اور پلکوں کی چلمنوں سے کبھی باہر نہیں نکل پاتیں۔ وہ چاہتے ہیں کہ ان کی طرح دوسرے بھی دیکھیں کہ دنیا کتنی حسین ہے۔ اس کی فضائوں میں کیسی رنگینی ہے۔ اس کی ہوائوں میں کس قدر سنگینی ہے۔ اس کی ادائوں میں کیسی دل نشینی ہے۔ وہ بھی یہ منظر دیکھیں کہ جب جہاز کے جھروکوں سے جھانکتے ہیں تو منظر کیسے بدل جاتے ہیں، کیا کیا کس روپ میں ڈھل جاتے ہیں، دیکھیں کہ لمبی چوڑی عمارتیں ماچس کی ڈبیا بن جاتی ہیں، چوڑی چوڑی سڑکیں یہاں تک کہ شاہراہیں بھی سکڑ کر پگڈنڈیوں کا روپ دھار لیتی ہیں۔ اونچے اونچے پیڑ گل بوٹے دکھائی دینے لگتے ہیں،پہاڑ ، دریا، گائوں، شہر سب سفید روئی کے گالوں میں چھپ جاتے ہیں۔ آسمان قریب آجاتا ہے۔ زمین دور ہو جاتی ہے۔ سجی سنہری پھول کی مانند کھلی کھلی سی رنگین تتلیاں ٹرالیوں میں پانی کی ننھی منی پیاری پیاری سی بوتلیں اور رنگ برنگی ٹافیاں لے کر چلتی ہیںتو مسافروں کی آنکھوں میں پیار اُمڈ آتا ہے اور بنا پیاس کے بھی ہونٹ پھڑپھڑااُٹھتے ہیں۔
ABSTRACT: Extremism remains the main concern for global security after 9/11 event. Western countries consider the religious intolerance in Muslim countries as a source of prevailing extremism. Pakistani Madaris (seminaries) are considered as a place for indoctrination of extremism and intolerance. The questions need to be addressed that why and how religious students tended towards extremism. The evidence shows that in Pukhtoon Society; the traditional social institutions of Hujra (Community center) and Jumaat (Mosque) relationship is also affected in post Afghan Soviet war. Hujra (Pukhtoon Community centre) which is traditionally the main supporter and financer of Jumaat (Mosquereligious institution) ; now seems to be overpowered by the religious institutions after getting trained and motivated organized Taliban (students of Indigenous Islamic Education System) and financial freedom after Afghan Soviet war. In this paper the question of legal status given to Taliban and their education status by the Islamic Republic of Pakistan is discussed. For exploring to answer this question both primary and secondary sources of data are used. The study concluded that no properly defined legal status exists for the millions of Taliban graduates in the state; and the aspired streamlining efforts of Madaris with formal education are non productive and ineffective. Even the supreme court of Pakistan is unanswered about the legal status of these graduates. Legislators elected in 2002 National Election faced cases in Supreme Court of Pakistan of their ineligibility based on the in¬ equivalency of their Madaris Sanad (Degree) to the formal University Degree of Pakistan. Government of Pakistan tried to mainstream Madaris education with formal education system of Pakistan, through changing their curricula which is all time resisted by Madaris. It is concluded at the end of the study of integrating Madaris education with formal education system in vertical arrangement rather than in horizontal or lateral arrangement (change of curriculum and amalgamation of courses etc.) . The approach of Vertical arrangement acknowledge the importance and value of both systems and provide benefits to the stakeholders in large. Different modalities are discussed in this paper.
Determination of the size of a defect in a given material is important from industrial usage point of view. In this work, a computational technique has been developed that takes a humble step forward from just qualitative description of defect, such as “big” or “small” to its area-wise quantification. Our program (by the name “DEFAREA”) accepts a 2D grayscale image of an investigated specimen as input and sizes the irregular shaped defects contained therein in terms of the area occupied by them. In case where a defect feature is of regular shape being a projected image of a cylinder or a sphere the program is also able to produce volumetric results. The program exploits the fact that defects offer color contrasts that are different from the rest of the image (such as bone fracture in X- ray radiograph). It is based on grayscale thresholding (GT) whereby it first iterates down to compute a minimum value of graylevel that separates the first peak from the rest of the distribution in the grayscale spectrum of the given input image. This threshold, which is representative of a particular shade of gray color, is then used to identify, select and count the number of pixels which have graylevel values below the computed threshold. The number of segmented pixels within the whole image size then easily produces not only a numeric fraction of the defective portion of inspected specimen but also the area occupied by the defect if the physical sizes and dimensional measurements of the specimen are known. The main part of the algorithm, however, revolves around devising a reliable computational method to obtain a certainty range in the reported defect size. Certainty range is needed as there physically exists a transition region (TR) between the defective and the immaculate parts of the investigated object that can not be put in either category. TR offers lesser contrast with the flawless part of the image than the pure defect areas. So a given defect is doubly quantified with and without appending the transition region around it with the aid of user-defined adjustability in the computed grayscale threshold. Then finally an average value of defect size is calculated along with an associated certainty. The presented algorithm is validated against physical measurements of some locally fabricated metallic plates having drilled holes of known sizes simulated as defects in them in which the results indicate that it correctly selects and quantifies at least 94.7% of the actual required regions of interest in a given image and it gives less than 8% false alarm rate. The algorithm is then applied to sizing of a wide range of defects commonly encountered in nuclear industry regarding reactor fuels. The images of nuclear fuels used as input in the program are collected from a reference standard source of neutron radiographs. The present work confirms the ability to quantify various kinds of defects such as chipping in nuclear fuel, cracks, voids, melting, deformation, inclusion of foreign materials, heavy isotope accumulation and non-uniformity etc. The classes of fuel range from those of research and power reactors to fast breeders, from fresh nuclear fuel to post-irradiate, and from pellets to annular and vibro-compacted fuel. It is also demonstrated that the program can handle a variety of image sizes, displays several output modes of image segmentation and works well without the need of any smoothening or eroding morphological operations.