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A Tunable Uv Laser Using Second Harmonic Generation

Thesis Info

Author

Muhammad Yaseen

Department

Deptt. of Physics, QAU.

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

1990

Thesis Completion Status

Completed

Page

134

Subject

Physics

Language

English

Other

Call No: DISS/M.Phil PHY/90

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676717459870

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ارشاد ڈیروی دی شاعری وچ سراپا نگاری

ارشادؔ ڈیروی دی شاعری وچ سراپا نگاری

رومانوی شاعری دی اہمیت اوس وچ ہوئی سراپا نگاری اتے منحصر ہو ندی اے ۔عمدہ سراپا نگاری پڑھن والے دے ذہن اتے انج سوار ہو جا  ندی اے جیویں کوئی زندہ آدمی اکھاں سامنے ہووے ۔عام طور تے شاعری دیاں بہت ساریاں گلاں پڑھن والا بھلا دیندا اے پر سراپا نگاری راہیں کوی لوک جوکسے دی مورت تراش دے نیں اوہ ہمیشہ یاد رہندی اے ۔ڈاکٹر احسن فاروقی ایس بارے لکدے نیں :

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ابتكارات العلامة الزمخشري في علم البديع خلال أسلوب السؤال والجواب في تفسيره الكشاف

The Figures of Speech(ملع عيدبلا )is a Significant branch of Arabic Rhetoric. It has two kinds; Literal Aesthetic, تانسحملا ةيظفللا)) Semantic Aesthetic, (تانسحملا ةيظفللا). Both kinds are having a pivotal role in the miracle of Qurān. The Great Scholar of Rhetoric Al-Zamakhshari has mentioned many of its types to analyze the Qurānic Verses rhetorically in his exegesis Al-Kashāf. The Great Scholar Abd Al-Qāhir Al-Jurjāni did not approach the upper mentioned kinds, not for the reason of non-interference in The Qurānic miracles but he was always eager to derive new ideas in this particular field. As it is known that many former scholars have approached all kinds of the Figures of Speech in a wide range and Abd Al-Q┐hir Al-Jurjāni was dominated by his creative nature. In this article, it has been discussed widely the academic ambivalence surrounding Abd Al-Q┐hir Al-Jurjāni's lack of interest in the Figures of Speech among three modern scholars: Dr. Muhammad Ahmad Al-ķwfi, Dr. Muhammad Shwq┘ Zaif, Dr. Muhammad Ab┴ Mosā.

Developing and Testing a Model of Corporate Financia Distress Prediction Specifically for Manufacturing Secto of Pakistan

For many years, premonition of financial distress and corporate bankruptcy is under discussion. Many researchers as well as professionals and academicians contend that these are the most critical factor of corporate decision making. Researchers and specialist are involved in developing models and techniques to predict financial distress and business failures. Forewarnings and prediction of financial conditions of the companies at an appropriate point of time allows the management, investors and other counterparts to take appropriate remedial measures and develop efficient processes and policies. Many researchers and experts believe that financial statement analysis and financial accounting ratios have the ability to predict and forecast the financial distress and financial health of a particular company. The purpose of this research work is to develop, test and present the most appropriate financial distress prediction model for the manufacturing sector of Pakistan. Matched pair research design is used in this research work. The distressed and non-distressed companies have been matched by industry, year and asset size. Out of 517 manufacturing Companies, 134 Companies financial statements were finally matched selected and analyzed for five years prior to distress and checked for the mean differences and similarity for distressed and non-distressed groups consisting of sixty seven companies in each group. Afterwards, based on the previous literature recommendations, three financial distress prediction models were developed. Multiple discriminant analysis, Logit and Probit analysis techniques were engaged for the development of new models. All the techniques and methods used accounting and financial ratios calculated from the income statements and balance sheets of the selected distressed and non-distressed companies. Utilizing the financial statement data relating to manufacturing sector companies for the years from 1999 to 2013, twenty five widely used financial and accounting ratios were calculated and analyzed. Stepwise multiple discriminant analysis was used for the identification of the best performed financial ratios for the development of the Z-ScorePakistan model. Afterwards, Logit and Probit models were developed with financial and accounting ratios for the classification of the sampled companies correctly. The results of this research study indicate that models for the distressed and non-distressed Companies show dissimilarity with the results of the non-distressed companies. 13 out of total 25 ratios were considered as the most relevant for the identification of financial distress. The tested models clearly discriminate between financially distressed and non-distressed companies. Financial distress can be predicted for the published financial information in Pakistan. This research study also concludes that Logit and Probit models are the most appropriate for prediction of financial distress specifically for manufacturing sector companies of Pakistan.