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Effect of Lifestyle on Nutritional Status Among Adolescents

Thesis Info

Author

Saba Maqbool

Supervisor

Zaheer Ahmad

Institute

Allama Iqbal Open University

Institute Type

Public

City

Islamabad

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Page

x, 86.

Subject

Medicine & Health

Language

English

Other

Call No: 613.7044 SAE; Publisher: Aiou

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676709939448

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محنتی میاں تے سیانی بیوی

محنتی میاں تے سیانی بیوی

کسے پنڈ وچ دوجیاں اتے مشتمل اک خاندان رہندا سی۔ اک میاں تے دوجی بیوی اوہ غریب ضرور سن پر انتہائی محنتی، ایماندار تے خوش اخلاقی دونواں دا آپس وچ پیار پنڈ وچ مثالی سی۔ اوہ کدے وی آپس وچ نئیں لڑے تے نہ ای پنڈ والیاں اوہناں نوں کدے لڑ دے یاں اُچی واج وچ بولدے سنیا سی۔ دونویں جی ڈھڈ بھرن لئی پنڈ وچ کوئی نکا موٹا کم کردے تے خوشی خوشی زندگی گزار رہے سن۔ کدے کدے میاں کم تے ٹر جاندا تے بیوی گھر سنبھالدی۔

اک دن میاں نوں اوس دے دوست دا شہروں پیغام ملیا۔ تے اوہ بیوی نوں دس کے شہر چلا جاندا اے۔ اپنے دوست نوں ملن اوس تے دا دوست دسدا اے کہ میں تیرے لئی اک نوکری لبھی اے۔ تینوں کمپنی والے ویہہ 20ہزار تنخواہ دے نال آون جاون لئی موٹرسائیکل وی دیون گے۔ توں میرے نال چل تے نوکری دے کاغذات اتے دستخط کر تاں جے تیری نوکری شروع ہو سکے۔ اوس دسیا کہ مالک تینوں کجھ پیسے پیشگی وی دیون لئی تیار اے۔ میاں اپنے دوست نال مالک کول گیا، نوکری دے کاغذاں اتے دستخط کیتے تے پنج ہزار روپیہ پیشگی وصول کر کے گھر ول ٹر پیا۔

اوس نوکری ملن دی خوشی وچ اپنی گھر والی لئی مٹھائی خریدی تے گھر داخل ہوندے ای خوشی نال اپنی گھر والی آواز دتی کہ چھیتی آ۔ تیرے لئی خوشخبری لے کے آواں۔ جدوں اوس دے گھر والی اوہدے نیڑے آ کے بہہ گئی تاں میاں بولیا کہ میں شہر اپنے دوست نوں ملن گیا ساں۔ میں اوس نوں کم لبھن لئی آکھیا ہویا سی۔ اوس مینوں اک کم اتے لوا دتا اے۔ مینوں 20ہزار روپے تنخواہ دے نال آون جاون لئی موٹرسائیکل وی...

Role of Pakistan as a Frontline State and its Sociocultural Impact

Location of Pakistan has great geo-political and geo-strategic significance in the South Asian region. Pakistan played an important role for the strategic goals of the United States during the ruling periods of President Zia-ul-Haq and President Musharraf. As a frontline state Pakistan received economic and military assistance, during the period of President Zia-ul-Haq, for supporting US interests against Soviet invasion in Afghanistan. After 9/11, due to its strategic location, Pakistan became the ally of the United States against terrorism and the biggest beneficiary of US economic assistance in the region. However, as a result of these policies Islamic extremism, sectarian violence and ethnic cleavages cropped up in the society, shattering social and cultural values. The purpose of this research paper is to highlight the key role played by Pakistan as a frontline state and its impact on the Pakistani society. This research paper follows descriptive and analytical methods.

Recommending Relevant Papers Using In-Text Citation Frequencies and Patterns

Scientific publications are growing exponentially. For example, more than 50 million journal papers have been published till now, and more than 2 million journal papers are added to the scientific knowledge every year. The published conference papers are in billions, and millions others are added every year. The world famous scientific databases such as Web of Science, Scopus, and PubMed etc index millions of such scientific papers, and that also despite the fact that their index either belongs to specialized domain or it is selective. There is another comprehensive index known as Google Scholar, indexes huge scientific knowledge from different domains. These systems make available the scientific knowledge to researchers. The advancement in research is always possible by standing on the shoulders of others. However, when users attempt to identify relevant papers from the mentioned systems or other similar systems, they are given millions of papers and are asked to select the most relevant papers manually by skimming those millions of papers. This creates frustration, and generally all of the selected papers do not belong to the list of papers which the users must read. In this task, many important papers are overlooked by the users as well. The identification of relevant papers from such a big data has attracted a number of researchers across the globe to find solutions to this problem. The contemporary approaches use a variety of techniques for the identification of the relevant documents such as content based approaches, metadata based approaches, collaborative filtering based approaches, co-citation analysis, and bibliographic analysis etc. However, the state-of-the-art research lacks in many directions such as its inability to find the nature of relationship between scientific documents and its failure to find how strongly two scientific documents are linked up, based on their relationship strength. To address these issues, this thesis designs, implements, and evaluates a novel approach that facilitates researchers to identify the most relevant papers in their domains. The proposed approach identifies the most relevant papers from the list of cited-by papers for the cited paper. This thesis works on the in-text citation frequencies and in-text citation patterns to identify the most relevant papers. In-text citation frequency is the number of occurrences of citations of one paper in the text of the other paper. In-text citation frequency patterns are the in-text citation evidences in different sections of the paper. The system has been implemented as a prototype for 3 CiteSeer. The proposed system has been evaluated using a number of user studies. The proposed approach shows encouraging results and assists the scientific community to identify the most relevant papers from a huge list of papers.