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Comparison of Self Confidence Developed During Teacher Training Programme of Rural and Urban Centers of Multan Division

Thesis Info

Author

Shaukat Ali

Supervisor

Muhammad Akram Malik

Institute

Allama Iqbal Open University

Institute Type

Public

City

Islamabad

Country

Pakistan

Thesis Completing Year

2007

Thesis Completion Status

Completed

Page

xvi,140.;

Subject

Education

Language

English

Other

Call No: 370.71 SHC; Publisher: Aiou

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676709824929

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ڈاکٹر پال کارس

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            ان کے چند ہی روز بعد یورپ کے ایک اور نامور فاضل ڈاکٹر پال کارس نے بھی انتقال کیا، ڈاکٹر موصوف کا مولد جرمنی تھا، لیکن مسکن امریکا تھا، وہ مشرقی فلسفہ و مذاہب کے عالم تھے، اور ہندو فلسفہ و مذہب سے انہیں خاص شغف تھا، چنانچہ فلسفہ گوتم بدھ وغیرہ پر ان کی متعدد تصنیفات ہیں، امریکا کا مشہور فلسفیانہ رسالہ موئسٹ انہیں کی ایڈیٹری میں نکلتا تھا۔ ( ’’مولوی عبدالماجد‘‘، جون ۱۹۱۹ء)

 

متابعتِ رسولﷺ (تکمیلِ ایمان) کے سات درجے: مکتوبات امام ربانی مجدد الفِ ثانی کی روشنی میں

The digit seven has great importance in our life. Seven rounds of  Holy Kabah, seven heavens, seven layers of earth, seven levels of  hell, seven recitation of Holy Quran, seven interior and exterior (meanings) of holy Quran, seven stages of human life, etc. Hazrat Mujadid Alf Sani mentioned the seven degrees and their secrets of the obedience of the Holy Prophet: Say: "if you do love (obey) Allah, then follow me, Allah will (love) save you". Actually the perfect following of the Holy Prophet is the source of the completion of faith. As we adopt the following of the Holy Prophet, so and so our faith will reach to the perfection. In this article, the introduction of seven degrees of the following of the Holy Prophet and their secrets are described, in the light of 54th writing in book II. So books so that every Muslim after seeing his faith, could be able to complete the degrees of the perfection of faith and could get the nearness of God.

Correlating Carotid Imaging and Phylogenetic Trees for the Pre and Post Analysis of Genetic Ischemic Strokes

Ischemic stroke is the most commonly occurring type of stroke and one of the most communal causes for disability and death in the world as per World Health Organization. Multiple factors such as hypertension, diabetes, arterial fibrillation, heart diseases, transient ischemic strokes, etc. contribute to ischemic stroke susceptibility. There is a compelling need for follow up checkups and post analysis to prevent further strokes. Apart from clinical tests, a lot of research is being carried out on computer based automated techniques and mechanisms for estimation of ischemic stroke risk. Ultrasound images of the carotid artery are used for development of noninvasive image based methods for stroke risk estimation however; carotid artery morphology, noise and artifacts in the ultrasound images can lead to false classification. Carotid intima media thickness is an indicator of future ischemic stroke. In this research, we have proposed an automatic ischemic stroke risk estimation approach using carotid intima media thickness from longitudinal carotid B-mode ultrasound images. Based on carotid intima media thickness, a classification scheme is proposed to associate the carotid artery stenosis with ischemic stroke risk. The proposed approach is tested and clinically validated on a data set of 100 longitudinal ultrasound images of the carotid artery. There is no significant difference between intima media thickness measurements obtained using our approach and the manual measurements by experts. The intra-observer error of 0.088, a Coefficient of Variation of 12.99%, Bland-Altman plots with small differences between experts (0.01 and 0.03 for Expert 1 and Expert 2, respectively) and Figure of Merit of 98.5% are obtained. The proposed approach makes the risk estimation process automatic and yet reduces the risk of subjectivity and operator variability for intima media thickness measurement. Additionally, some of stroke cases are suspected to be genetic as the patients do not suffer from the conventional risk factors. Extensive research has been conducted to investigate the unknown factors other than the conventional ones and their relationship with genetics. We have analyzed genotype data for stroke risk estimation. Nine classification models are used on the SNPs data to analyze and classify individuals. An accuracy of 88.16% is achieved by the proposed approach. Ischemic stroke risk has been correlated with genetic distances. For this purpose phylogenetic trees have been used. Analysis suggests that given two populations might be genetically close but they might be far with respect to ischemic stroke risk. Proposed research has addressed both the medical image analysis and genetic data analysis for stroke risk estimation. The proposed approach has achieved higher accuracy, specificity and sensitivity values when compared to existing approaches.