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Design and Development of Management System for Ground Soport and Maintenance Facilities of Airport

Thesis Info

Author

Akhtar Najmi

Department

College of EME

Institute

University of Engineering and Technology

Institute Type

Public

City

Rawalpindi

Country

Pakistan

Thesis Completing Year

1995

Thesis Completion Status

Completed

Page

112 . HB.

Subject

Engineering

Language

English

Other

Call No: 629.134085 A 4

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676712441315

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خون جگر ہونے تک

خون جگر ہونے تک
اپنی کتاب کا دیباچہ لکھنا توحالیؔ جیسے لوگوں کو جچتا ہے جو دیباچہ لکھیں تو تنقید کی پہلی کتاب وجود پا جائے۔میں تو عاجزانہ طور پر چند عروضی نکات پیش کرنا چاہتا ہوں۔میرا یہ دیباچہ سب کے لیے نہیں ہے۔ اس کی دو وجوہات ہیں۔ ایک تو عروضی بحث اس قدر گنجلک اور پیچیدہ ہوتی ہے کہ ہر کسی کو اس سے شغف نہیں ہوتا اور دوسرا جو لوگ عروض پہ دسترس رکھتے ہیںان کے لیے اس وضاحت کی ضرورت نہیں کیوں کہ وہ عروض پہ اس دیباچے سے بہت بہتر کتابیں پڑھ چکے ہیں۔ یہ دیباچہ فقط ان لوگوں کے لیے ہے جو شعر کہتے ہیں اور عروض میں بھی ٹانگ اڑاتے ہیں اورجب کسی شعر کی بحر سمجھ نہ آئے تو اسے بے وزن کہہ دیتے ہیں۔زیادہ تر ہندی بحر کے سلسلے میںان کا رویہ ایسا ہوتا ہے اوراگر ان کے سامنے کسی بڑے شاعر کا مصرع بہ طور نمونہ رکھ دیا جائے تو وہ اسے بھی بے وزن کہنے سے ذرا نہیں ہچکچاتے۔ فاع فاعلن یا فعَل فعولن ان کی سمجھ سے باہر ہو جاتا ہے۔ دراصل ایسے حضرات ہندی بحر کی چند معروف صورتوں کے سوا باقی صورتوں سے آشنا ہی نہیں۔
میرا یہ شعری مجموعہ ہندی بحر میںہی تخلیق ہوا ہے اور ہندی بحر میں خاصا تنوع پایا جاتا ہے۔ہمارے وہ لوگ جو عروض کو سرسری طور پر جانتے ہیں۔اس بحر کو سمجھنے میں ٹھوکر کھاتے ہیں۔وہ ہندی بحر کی چندمعروف صورتوں سے ہی واقف ہیں۔وہ بس اِسے ہی ہندی بحر سمجھتے ہیں مگر ہندی بحر کی متنوع صورتیں ہیں۔ان حضرات کے سامنے اگر کوئی مختلف صورت آ جائے تو وہ اسے سمجھنے سے قاصر رہتے ہیں کیوں کہ وہ ان صورتوں سے آشنا ہی نہیں اور وہ اسی ناآشنائی میں اس مصرعے کو بے وزن کہہ دیتے...

An Overview of the Religious Perspective of Honour Killing in Federally Administered Tribal Areas (Fata) of Pakistan

This article maps the role of religion in the prevalence and promotion of honour killing in tribal areas of Pakistan. Through simple sampling method a sample size of 377 respondents, comprising of ‘Maliks’ were selected from the study universe. The collected data was interpreted and presented at uni-variate, bi-variate and multi-variate levels. Chi-square test statistics were used to draw association between dependent variable (honour killing) and independent variable (religion) both at bi-variate and multi-variate levels. The study found a significant relationship of honour killing with the importance of religion in people lives, alienation from the religious teachings, dominance of cultural values over religion, existence of honour killing in all religious sects (Shia and Sunni), and lack of factual religious knowledge about honour killing. Moreover, a non-significant relationship of honour killing was found with permission of honour killing in Islam, and religious clerics often speak about honour killing in religious sermons. Understanding of women and their rights in light of the teachings of Islam, religious clerics need to perform their true role, and killing in either shape needs to be propagated as against the religion were presented some of the policy recommendations in lights of the study results.

Predicting Financial Distress Using Machine Learning Techniques in Services Sector of Pakistan

Financial distress is an active research area particularly for business community of Pakistan due to economic conditions, electricity shortage and political situation. Banks are also taking keen interest in this area after the global financial crisis of year 2008. Therefore, the question that how financial distress can be predicted accurately has been widely debated by many scholars by using traditional statistical models. However, earlier research has not adequately addressed the issue of predicting financial distress. Adding to that the rate of financial distress is also getting harder to estimate by using traditional statistical models, because firms are becoming more complex and creating refined plans to hide their real financial situation. To prevent this condition latest prediction models are adopted by many countries which can give early indication of firm?s financial distress with highly accurate results. In this regard, prediction of financial distress by Neural Network Model is not much explored in Pakistan for foreseeing the financial health of firms. This paper addresses this issue and uses Neural Network Model to predict financial distress of firms in Pakistan by selecting suitable independent variables. The sample of 22 private sector conventional banks listed at Pakistan Stock Exchange is selected. The time series financial statements of these banks are selected for 15 years (2001 to 2015).Selected sample time frame is (pre-crisis 2001-2007), (crisis 2008) and (post-crisis 2009-2015). To test first hypothesis,4 Altman''s ratios from revised Altman''s Z-Score Model are calculated from these financial statements of selected banks. This study used three layered Neural Network Model consisting of input layer, hidden layer and output layer. The 4 independent explanatory variables/ input are 4 Altman''s ratios and 1 dependent variable/output is probable financial distress. After determining the Neural Network architecture, cross-validation re-sampling procedure is used to train, validate, and test a Neural Network by using commerciallyavailable MATLAB software. The best and most appropriate Neural Networks model, constructed by combining input variables of 4 Altman''s ratios, resulted in the R value of 0.99 that shows a relatively high accuracy given the error ratio in the input variables. These results confirmed the second hypothesis. By testing third hypothesis, distressed and non distressed banks are correctly classified with reference to Altman?s ratio