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Transformational Leadership and Ocb Mediating role of procedural justice and moderating impact of conflict and work environment

Thesis Info

Author

Hafsah Zahur

Program

MS

Institute

National University of Modern Languages

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Subject

Management Sciences

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676728851968

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مزاجِ وقت دیکھو، وقت کی رفتار کو دیکھو

مزاجِ وقت دیکھو وقت کی رفتار تو دیکھو
لکھا ہے کیا سرِ دیوار تم دیوار تو دیکھو

مقدر میں یہی لکھا تھا یہ بھی ٹھیک ہے لیکن
سبب کچھ اور بھی ہو گا تم اپنی ہار تو دیکھو

اے حاکم تجھ پہ لازم ہے نگہ بانی رعایا کی
کہ اس کی مفلسی اور اس کا حالِ زار تو دیکھو

نہیں تیار خلقت کیوں تمھاری بات سننے کو
خدا کے واسطے اس خلق کا انکار تو دیکھو

اگر وہ باوفا ہوتا ، کبھی ایسا نہیں کرتا
صفِ دشمن میں جا بیٹھا ہے میرا یار تو دیکھو

خدا کا شکر کرتا ہے ادا دردِ محبت پر
ہُوا ہے محوِ سجدہ عشق کا بیمار تو دیکھو

تمھارا نام جپتا ہے فقط تائبؔ تمھارا ہے
تم اس کی چاہ تو دیکھو، تم اس کا پیار تو دیکھو

سودی نظام کے بعض اہم شبہات اور ان کا رد

This article is an attempt to judge various dubious concepts regarding usury (Riba) in order to legalize it in one way or another using some artful arguments inculcating into the minds as lawful sketch of usury providing its justifications and legality. Different dimensions have been explained analytically in the light of Islamic view point curtailing the misfit approaches after some essential discourse concerning Islamic injunctions about Usury. Some reasons and evidences have also been discussed against each doubt and suspicion denouncing what has been claimed unlawfully due to the role and impact of interest based economy about financial contract and Riba free economy, its various conditions regarding bank, currency, quantity, expediency, mutual willingness as well as applicable framework and paradigm

New Matrix Development for the Matrix Assisted Laser Desorption/ Ionization Maldi for the Analysis of Biomolecules and Metabolites Profiling of Oral Cancer for Biomarker Search

This dissertation comprises of seven chapters. First chapter summarizes the brief introduction of matrix assisted laser desorption/ ionization mass spectrometry (MALDI-MS), its theory, applications, and significance in small molecule analyses. The second chapter summarizes the brief introduction of the development of metabolomics in omics sciences with relevance to oncology. While third chapter includes the oral cancer pathogenesis, classification, and its associated biomarkers. Fourth chapter is based on the possible increment in MALDI-MS sensitivity by increasing the ion generation via use of dopants in MALDI-MS matrices. These dopants constitute commonly used dyes, along with conventional MALDI-MS matrices which can significantly increase the ion intensity of standard proteins. Moreover, such effect remains consistent when applied to real samples (RSC Adv. 2017, 7, 6598–6604). Fifth chapter describes the successful application of 31 compounds of acylhydrazide, and isatin Schiff bases as alternate UV-LDI matrices for the analyses of peptides (<2000 Da) with significantly low background signals and showed comparable results with the conventional matrix (AJAC, 2012, 3, 779-789). Chapter six focused on the identification of distinguished metabolites of oral cancer tissue samples in comparison with precancerous and control tissue samples using gas chromatography-mass spectrometry (GC-MS) and chemometric analyses. Metabolites obtained were identified through National Institute of Standards and Technology (NIST) mass spectral (Wiley registry) library. Mass Profiler Professional (MPP) software was used for the alignment and for all the statistical analyses. 31 compounds out of 735 found distinguishing among oral cancer, precancerous and control group samples using p-value ≤ 0.05. The sensitivity and specificity of built model was found to be 85.7% and 93.3%, respectively, using statistically significant metabolites (Scientific Reports, 2016, 6, 38985-38993). Last chapter of the dissertation based on the distinctive identification of metabolites of oral cancer, snuff dippers and healthy plasma samples using GC-MS and chemometric analyses. Metabolites obtained were identified through NIST mass spectral library. MPP software was used for the data pretreatment and statistical analyses. 29 compounds were found distinguishing among oral cancer, snuff dippers and healthy group samples using p-value ≤ 0.001 and fold change ≥3. PLSDA model was generated using statistically significant metabolites which gave an overall accuracy of 89.2% (Submitted in Head & Neck).