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The Role of Political Intelligence in Effective Change Management in University of Pakistan

Thesis Info

Author

Fatima Ashraf

Supervisor

Muhammad Zahid Iqbal

Department

Department of Management Sciences

Program

MS

Institute

COMSATS University Islamabad

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2011

Thesis Completion Status

Completed

Subject

Management Sciences

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676720637583

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سلطان کھاروی دی غزل گوئی وچ حقیقت پسندی

 

سلطان کھاروی دی غزل گوئی وچ حقیقت پسندی

سلطان کھاروی پنجابی غزل دے مان یو گ کوی نیں ۔غزل خو ب لکھدے ہن جیہدے وچ سوہنا لہجہ ،سوہنے شبداں دی ورتوں ،قدراں دی ٹٹ بھج،لفظی تے شعری تصویراں موجود نیں۔اوہناں دی غزل گوئی دی وڈی خوبی حیاتی نوں اوس دے اصل روپ وچ بیان کر نا اے۔کیوں جے اوہ حیاتی دیاں اٹل سچائیاں تے حقیقتاں نو ں بھلی بھانت جانو نیں ۔ایس لئی کوتا راہیں ایس نوں بیان کر کے منکھتا نوں سوچن دی دعوت دیندے نیں ۔اوہناں دی اجیہی کوتا وچ اک ترکھی چھبن اے جیہڑی جذبیاں نوں ٹنبدی تے منکھی سوچاں وچ بھرتو پا دیندی اے ۔ آپ نے حیاتی دیاں حقیقتاں نوں جیویں کوتا وچ روپ مان کیتا اے اوس دا اویروا انج اے ۔

دنیا دی سب توں وڈی حقیقت اے کہ منکھ ربی بھیال لئی تھا ں تھاں متھے ٹیک دا اے تے جنگل بیلے وی کھچدا اے ۔پر رب اوس نوں نئیں ملدا ۔اوہ رب نوں تلاش تاں ضرور کر دا اے پر اپنے من نوں دنیا داری تو ں پاک نہیں کر دا ۔بغض تے حسد ورگے سماجک کوجھ من وچوں نہیں کڈھدا۔

ہووے ذہن جے صاف کدورتاں توں واجاں آوندیاں گھڑ دیاں مورتاں توں

اوئے بندیا! رب پچھاننے لئی حسد بغض جنگال وی کھروچنا سی(۱)

جنگل بیلے دا پندھ مکاونا پیندا اے ۔مورتیاں نوں من وچوں کڈھنا پیندا اے ۔کعبے والا تاں من دے اندر وسدا اے ۔

 

جنگل بیلے بھال مکائو کدھرے اوہ مستور نہیں

مورتیاں  نوں دل وچوں کڈھو کعبے والا دور نہیں

 

(۲)

عظیم شخصیات کے اوصاف وخصائص: سیرت طیبہ کی روشنی میں

Great lineage, good manners, trustworthiness, sincerity, courage and bravery, obedience, generosity, modesty, humility, thankfulness, absolute trust in Allah, education and upbringing, affection and compassion towards the elderly, the youth, slaves and animals, the regard for truth, the endurance and patience etc. Are such features that at them neither was the match for the Holy Master (saw) born, nor will any such person be ever born. In addition, let alone friends, his enemies were helpless to hold him as-Sadiq (the Truthful) and al-Ameen (the Trustworthy) due to these and many other great attributes; and they would say: Muhammad is not a liar at all, but we can’t believe in him as a prophet sent by Allah. Moreover, even a non-Muslim or polytheist has never criticized his character to this day, nor will anybody do till the judgment day. Whenever the greatest personalities of the world were listed or somebody committed to writing on the said topic, the Holy Prophet (saw) remained at the top of the list. Drawing of the swords of father and son against each other, the change of the standard of friendship and enmity, fighting of master and his slave against each other, chanting the slogan of Ahad-Ahad (the only One, the only One) on the blazing sand, giving priority to martyrdom over the utterance of a word of unbelief, taking a husband away from his wife and separating a mother from her infant, deforming the condition after a blasphemous blow on the blessed face, forced migration to Habsha (Abyssinia) at times, and laying siege to Shb-e-Abi Talib (the valley of Abi Talib) at times.

Medical Blogs Text Mining: An Efficient Methodology for Knowledge Identification & Sharing

Ubiquitous and economical availability of data through Internet proffers an unprecedented opportunity. The quantity and quality of knowledge driven is directly proportional to the amount of data available. Data mining renders the set of tools and techniques required to analyze large collections of data and extract useful patterns. This can endow healthcare community with great assistance to make calculated decisions given a medical situation. As the available data on the Internet is growing exponentially, generated by different communities and in different formats including emails, blogs, forums, standard web pages, and so on, the task of the text mining community becomes more challenging. The availability of such humongous data, along with offering great prospects, also creates enormous amount of challenges for the data science community, including the data and text mining communities. These challenges include the analysis, interpretation, and exploration of a variety of data typesto work on and the development of innovative algorithms and software tools to efficiently handle large quantities of data. Electronic medical data are among the more rapidly growing data genres. They are available in the form of electronic patient records, blogs authored by patients and medical professionals, medical experiences shared over the internet forums, prescriptions and invoices and many other formats. Electronic patient records have long been used for analysis of healthcare services. Knowledge available in medical blogs data, however, has not been utilized as effectively and extensively by the healthcare community. In this thesis, we propose a methodology that makes use of the state-of-the-art data and text mining techniques to take advantage of the social medical data available on the Internet for finding associations among diseases, symptoms, laboratory test, and medications, etc. The proposed methodology identifies information from large collection of unstructured texts available in the form of blogs and forum posts. The method finds associations and dissociations among the diseases and symptoms by employing interesting feature selection and association rule mining techniques. The application areas include correlating the clinical information like symptoms, diseases, etc. for the development of medical expert systems. Finding negative associations among clinical features is more important as it can greatly reduce the diagnosis space. Also the spatial and temporal relations among the medical conditions are extracted. The resultant associations and dissociations have confidence level bracketed together to help a medical professional take efficient decision. The empirical evaluations, on a variety of data sets, demonstrate the pragmatic efficacy and performance efficiency of the techniques put forward in this research.